XN-----6KCBAA9DBC2AQLB2BT1D1E.XN--P1AI

Denis Bosq Mathematical Statistics and Stochastic Processes


Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very important for today’s practitioners. Mathematical Statistics and Stochastic Processes is based on decision theory and asymptotic statistics and contains up-to-date information on the relevant topics of theory of probability, estimation, confidence intervals, non-parametric statistics and robustness, second-order processes in discrete and continuous time and diffusion processes, statistics for discrete and continuous time processes, statistical prediction, and complements in probability. This book is aimed at students studying courses on probability with an emphasis on measure theory and for all practitioners who apply and use statistics and probability on a daily basis.

12387.62 RUR

/ / похожие

Подробнее

Shelemyahu Zacks Examples and Problems in Mathematical Statistics


Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results. Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important results in an effort to aid in overall comprehension. Examples are then provided, followed by problems, and finally, solutions to some of the earlier problems. In addition, Examples and Problems in Mathematical Statistics features: Over 160 practical and interesting real-world examples from a variety of fields including engineering, mathematics, and statistics to help readers become proficient in theoretical problem solving More than 430 unique exercises with select solutions Key statistical inference topics, such as probability theory, statistical distributions, sufficient statistics, information in samples, testing statistical hypotheses, statistical estimation, confidence and tolerance intervals, large sample theory, and Bayesian analysis Recommended for graduate-level courses in probability and statistical inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.

12387.62 RUR

/ / похожие

Подробнее

Группа авторов Approximation Theorems of Mathematical Statistics


Approximation Theorems of Mathematical Statistics This convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. Approximation Theorems of Mathematical Statistics covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. The manipulation of «probability» theorems to obtain «statistical» theorems is emphasized. Besides a knowledge of these basic statistical theorems, this lucid introduction to the subject imparts an appreciation of the instrumental role of probability theory. The book makes accessible to students and practicing professionals in statistics, general mathematics, operations research, and engineering the essentials of: * The tools and foundations that are basic to asymptotic theory in statistics * The asymptotics of statistics computed from a sample, including transformations of vectors of more basic statistics, with emphasis on asymptotic distribution theory and strong convergence * Important special classes of statistics, such as maximum likelihood estimates and other asymptotic efficient procedures; W. Hoeffding's U-statistics and R. von Mises's «differentiable statistical functions» * Statistics obtained as solutions of equations («M-estimates»), linear functions of order statistics («L-statistics»), and rank statistics («R-statistics») * Use of influence curves * Approaches toward asymptotic relative efficiency of statistical test procedures

19606.3 RUR

/ / похожие

Подробнее

Ansgar Steland Financial Statistics and Mathematical Finance. Methods, Models and Applications


Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book.

8822.84 RUR

/ / похожие

Подробнее

Richard Rossi J. Mathematical Statistics


Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function This book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ideas in statistical modeling, such as sufficiency, exponential family distributions, and large sample properties. Mathematical Statistics: An Introduction to Likelihood Based Inference makes advanced topics accessible and understandable and covers many topics in more depth than typical mathematical statistics textbooks. It includes numerous examples, case studies, a large number of exercises ranging from drill and skill to extremely difficult problems, and many of the important theorems of mathematical statistics along with their proofs. In addition to the connected chapters mentioned above, Mathematical Statistics covers likelihood-based estimation, with emphasis on multidimensional parameter spaces and range dependent support. It also includes a chapter on confidence intervals, which contains examples of exact confidence intervals along with the standard large sample confidence intervals based on the MLE's and bootstrap confidence intervals. There’s also a chapter on parametric statistical models featuring sections on non-iid observations, linear regression, logistic regression, Poisson regression, and linear models. Prepares students with the tools needed to be successful in their future work in statistics data science Includes practical case studies including real-life data collected from Yellowstone National Park, the Donner party, and the Titanic voyage Emphasizes the important ideas to statistical modeling, such as sufficiency, exponential family distributions, and large sample properties Includes sections on Bayesian estimation and credible intervals Features examples, problems, and solutions Mathematical Statistics: An Introduction to Likelihood Based Inference is an ideal textbook for upper-undergraduate and graduate courses in probability, mathematical statistics, and/or statistical inference.

11139.95 RUR

/ / похожие

Подробнее

Группа авторов Probability and Statistics for Computer Science


Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: «to present the mathematical analysis underlying probability results» Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content

23794.92 RUR

/ / похожие

Подробнее

A. K. Md. Ehsanes Saleh An Introduction to Probability and Statistics


A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.

13017.31 RUR

/ / похожие

Подробнее

Tim Hesterberg C. Mathematical Statistics with Resampling and R


This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test and the EM algorithm • Offers a new section on «Google Interview Questions» that illustrates statistical thinking • Provides a new chapter on ANOVA • Contains more exercises and updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.

10768.61 RUR

/ / похожие

Подробнее

A. Y. Khinchin Mathematical Foundations of Quantum Statistics


A coherent, well-organized look at the basis of quantum statistics’ computational methods, the determination of the mean values of occupation numbers, the foundations of the statistics of photons and material particles, thermodynamics.

961.75 RUR

/ / похожие

Подробнее

Prakash Gorroochurn Classic Topics on the History of Modern Mathematical Statistics


"There is nothing like it on the market…no others are as encyclopedic…the writing is exemplary: simple, direct, and competent." —George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features: A detailed account of Galton's discovery of regression and correlation as well as the subsequent development of Karl Pearson's X2 and Student's t A comprehensive treatment of the permeating influence of Fisher in all aspects of modern statistics beginning with his work in 1912 Significant coverage of Neyman–Pearson theory, which includes a discussion of the differences to Fisher’s works Discussions on key historical developments as well as the various disagreements, contrasting information, and alternative theories in the history of modern mathematical statistics in an effort to provide a thorough historical treatment Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference.

13017.31 RUR

/ / похожие

Подробнее

Mathematical Statistics and Stochastic Processes Applied ...

Mathematical Statistics and Stochastic Processes (Applied Stochastic Methods) | Bosq, Denis | ISBN: 9781848213616 | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

Denis Bosq - The Mathematics Genealogy Project

Denis Bosq . MathSciNet. Ph.D. Université de Paris 1971. Dissertation: Contribution à la théorie de l'estimation fonctionnelle. Mathematics Subject Classification: 62—Statistics. Advisor: Unknown . Students: Click here to see the students listed in chronological order. Name School Year Descendants; Berlinet, Alain: Université de Lille I: 1980: 17: Bianchi, Annamaria: Università degli ...

Mathematical Statistics and Stochastic Processes by Denis ...

Find many great new & used options and get the best deals for Mathematical Statistics and Stochastic Processes by Denis Bosq (2012, Hardcover) at the best online prices at eBay! Free shipping for many products!

Denis Bosq (Author of Mathematical Statistics and ...

Denis Bosq is the author of Mathematical Statistics and Stochastic Processes (0.0 avg rating, 0 ratings, 0 reviews, published 2012), Inference and Predic...

9781848213616: Mathematical Statistics and Stochastic ...

Bosq, Denis. 0 avg rating • (0 ratings by Goodreads) Hardcover ISBN 10: 1848213611 ISBN 13: 9781848213616. Publisher: Wiley-ISTE, 2012. This specific ISBN edition is currently not available. View all copies of this ISBN edition: Synopsis; About this title; Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this ...

《Mathematical Statistics and Stochastic Processes》(Denis ...

《Mathematical Statistics and Stochastic Processes》(Denis Bosq)内容简介: This book is devoted to Mathematical Statistics and Statistics for Stochastic Processes,ased on Me...

Mathematical Statistics and Stochastic Processes: Bosq ...

Hello Select your address Best Sellers Today's Deals New Releases Gift Ideas Electronics Books Customer Service Home Computers Gift Cards Subscribe and save Coupons Sell

Mathematical Statistics And Stochastic Processes, Denis ...

Compre o livro Mathematical Statistics And Stochastic Processes de Denis Bosq em Bertrand.pt. 20% de desconto imediato, portes grátis.

CURRICULUM VITÆ ET TRAVAUX DE DENIS BOSQ

M´el : [email protected] 1956 Baccalaur´eat (Poitiers) 1959 Licence `es-Sciences Math´ematiques (Paris) 1960 DEA de Math´ematiques (Paris) 1961 DEA de Statistique (Paris) 1964 Doctorat 3`e cycle (Paris) 1965-1966 Stagiaire de Recherche au CNRS 1966-1967 Enseignant a l’Universit´e du Chili (Coop´eration) 1967-1972 Attach´e de Recherche au CNRS 1971 Doctorat `es-Sciences (Paris) 1972 ...

Restaurant BOSQ op Texel | The spirited restaurant

Restaurant BOSQ is gelegen op een unieke locatie op Texel, midden in het Texelse Dennenbos. U kunt hier onder andere terecht voor een verrassend diner, een heerlijke lunch, een high tea of een brunch. Probeer ook onze BOSQ Experience en laat u verrassen door de keukenbrigade.

Mathematical Statistics and Stochastic Processes : Denis ...

Mathematical Statistics and Stochastic Processes by Denis Bosq, 9781848213616, available at Book Depository with free delivery worldwide.

Denis Bosq Books - List of books by Denis Bosq

Discount prices on books by Denis Bosq, including titles like Mathematical Statistics and Stochastic Processes (Applied Stochastic Methods). Click here for the lowest price.

Mathematical Statistics and Stochastic Processes eBook by ...

Read "Mathematical Statistics and Stochastic Processes" by Denis Bosq available from Rakuten Kobo. Generally, books on mathematical statistics are restricted to the case of independent identically distributed random var...

Denis Bosq | Open Library

Author of Nonparametric statistics for stochastic processes, Inference and prediction in large dimensions, A course in stochastic processes, Théorie de l'estimation fonctionnelle, Mathematical statistics and stochastic processes, Inference and prediction in large dimensions

Mathematical Statistics and Stochastic Processes by Denis ...

Buy Mathematical Statistics and Stochastic Processes by Denis Bosq online at Alibris. We have new and used copies available, in 1 editions - starting at $141.34. Shop now.

Mathematical Statistics and Stochastic Processes (ISTE ...

Buy Mathematical Statistics and Stochastic Processes (ISTE) 1 by Bosq, Denis (ISBN: 9781848213616) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.

Linear Processes in Function Spaces - Theory and ...

The main subject of this book is the estimation and forecasting of continuous time processes. It leads to a development of the theory of linear processes in function spaces.The necessary mathematical tools are presented in Chapters 1 and 2. Chapters 3 to 6 deal with autoregressive processes in

Denis Bosq's research works

Denis Bosq's 16 research works with 60 reads, including: Introduction to Mathematical Statistics

Dennis Johnson (Mathematiker) – Wikipedia

Dennis Lee Johnson (* 19. November 1938 in Los Angeles; † 20. Dezember 2018 in Morgan Hill, Kalifornien) war ein US-amerikanischer Mathematiker, der sich mit algebraischer Topologie und geometrischer Topologie befasste. Außerdem war Komponist und ein Pionier der Minimal Music. Werdegang. Johnson studierte 1959 an der University of California, Los Angeles (UCLA), Musik. La Monte Young und ...

Index of BOSQ - The Mathematics Genealogy Project

Bosq, Denis: Université de Paris: 1971: Search; About MGP. Mission; News; Staff; Recognition; Acknowledgments; Links; FAQs; Posters; Submit Data; Contact; The Mathematics Genealogy Project is in need of funds to help pay for student help and other associated costs. If you would like to contribute, please donate online using credit card or bank transfer or mail your tax-deductible contribution ...

Mathematical Statistics and Stochastic Processes, Denis ...

通过新浪微盘下载 Mathematical Statistics and Stochastic Processes, Denis Bosq, 2012.pdf, 微盘是一款简单易用的网盘,提供超大免费云存储空间,支持电脑、手机 等终端的文档存储、在线阅读、免费下载、同步和分享是您工作、学习、生活 的必备工具!

Denis Bosq - Bertrand Livreiros - livraria Online

Denis Bosq - consulte a biografia e bibliografia do autor de Mathematical Statistics And Stochastic Processes, A Course In Stochastic Processes, Inference And Prediction In Large Dimensions e Course In Stochastic Processes

Mathematical Statistics And Stochastic Processes Bosq ...

Mathematical Statistics And Stochastic Processes Bosq Denis Top EPUB 2020,mathematical, statistics, stochastic, processes, bosq, denis, epub, 2020,earn money from home, get money online, how become a dropshipper, create money from home, eapdf epub, download epub, epub vk, epub to pdf, free epub, gratis epub, epub books, epub ebook, ebook, mobi epub, epub reader, kindle epub, kindle, free epub ...

Suchergebnisse - Wiley-VCH eBooks

Mathematical Statistics and Stochastic Processes von: Denis Bosq. Verlag: Wiley Preis: 126,99 € Format: PDF ...

Inference and Prediction in Large Dimensions Wiley Series ...

Inference and Prediction in Large Dimensions (Wiley Series in Probability and Statistics) by Bosq, Denis, Blanke, Delphine (2007) Gebundene Ausgabe | | ISBN: | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

Course in Stochastic Processes - Ebok - Denis Bosq, Hung T ...

Pris: 2469 kr. E-bok, 2013. Laddas ned direkt. Köp Course in Stochastic Processes av Denis Bosq, Hung T Nguyen på Bokus.com.

Amazon.fr - Mathematical Statistics and Stochastic ...

Retrouvez Mathematical Statistics and Stochastic Processes et des millions de livres en stock sur Amazon.fr. Achetez neuf ou d'occasion Amazon.fr - Mathematical Statistics and Stochastic Processes - Bosq, Denis - Livres

6 results in SearchWorks catalog - searchworks.stanford.edu

Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more.

Theory and Decision Library B Ser.: A Course in Stochastic ...

Find many great new & used options and get the best deals for Theory and Decision Library B Ser.: A Course in Stochastic Processes : Stochastic Models and Statistical Inference by Hung T. Nguyen and Denis Bosq (1996, Hardcover) at the best online prices at eBay! Free shipping for many products!

Denis Bosq Profiles | Facebook

View the profiles of people named Denis Bosq. Join Facebook to connect with Denis Bosq and others you may know. Facebook gives people the power to share...

Denis Bosq's research works | Sorbonne Université, Paris ...

Denis Bosq's 16 research works with 21 citations and 59 reads, including: Renewal Theory

Amazon.com: Mathematical Statistics and Stochastic ...

Amazon.com: Mathematical Statistics and Stochastic Processes (Applied Stochastic Methods) (9781848213616): Bosq, Denis: Books

Denis Nardin's Home Page - uni-regensburg.de

Denis Nardin's Home Page. Contacts. Fakultät für Mathematik Universität Regensburg 93040 Regensburg Deutschland. Zimmer M223 denis DOT nardin AT ur DOT de. I am a postdoc at the Universität Regensburg, in the working group of Prof. Marc Hoyois. My current position is supported by SFB 1085 "Higher Invariants". My main mathematical interests are on equivariant and motivic homotopy theory and ...

Denis Bosq | Facebook

Denis Bosq is on Facebook. To connect with Denis, sign up for Facebook today. Log In. or. Sign Up. About Denis Bosq. Work. Fontaine-Guérin, Pays De La Loire, France. Education. Collège Molière - Beaufort-en-Valléé . Class of 1988 · Beaufort-En-Vallée, Pays De La Loire, France. Cfa Belle Beille. Angers, France. Favorites. Other. No Pages to show. Photos +156. See More Photos. Others ...

Denis BOSQ - lpsm.paris

denis [dot] bosq [at] upmc [dot] fr. Bureau. Bureau 217 Tour 15/25. Adresse postale : Site de Jussieu Faculté des Sciences et Ingénierie Tour 15/25 Etage 2 Bureau 17 BC 158 4, place Jussieu 75252 PARIS cedex 05 ...

Search Result - projecteuclid.org

Search tips. Exact phrase search: Use quotes, e.g. "integral equations" Wildcard search: Use asterisk, e.g. topo* Subject search: Truncate MSC codes with wildcard, e.g. 14A15 or 14A* Author search: Sequence does not matter; use of first name or initial varies by journal, e.g. harris john or t arens Diacritics: Drop diacritics, e.g. gotz finds Götz More tips

Search Result - sf-lib-app-008.serverfarm.cornell.edu

Search tips. Exact phrase search: Use quotes, e.g. "integral equations" Wildcard search: Use asterisk, e.g. topo* Subject search: Truncate MSC codes with wildcard, e.g. 14A15 or 14A* Author search: Sequence does not matter; use of first name or initial varies by journal, e.g. harris john or t arens Diacritics: Drop diacritics, e.g. gotz finds Götz More tips

MONSIEUR DENIS BOSQ (LES BOIS D'ANJOU) Chiffre d'affaires ...

MONSIEUR DENIS BOSQ à LES BOIS D'ANJOU (49250) RCS, SIREN, SIRET, bilans, statuts, chiffre d'affaires, dirigeants, cartographie, alertes, annonces légales ...

Search Result

Search tips. Exact phrase search: Use quotes, e.g. "integral equations" Wildcard search: Use asterisk, e.g. topo* Subject search: Truncate MSC codes with wildcard, e.g. 14A15 or 14A* Author search: Sequence does not matter; use of first name or initial varies by journal, e.g. harris john or t arens Diacritics: Drop diacritics, e.g. gotz finds Götz More tips

Denis BOSQ - Dirigeant de la société Societe Cooperative ...

Denis BOSQ est né le 27 décembre 1971. Denis BOSQ est président du conseil d'administration de l'entreprise Societe Cooperative des Artisans Professionnels de L'automobile qui a été créée en 1984. Le chiffre d'affaires de la société en 2019 s'élève à 13 345 914 €. Denis BOSQ est également mandataire de 4 autres sociétés.

MPG.eBooks - Search Results - "Statistics"

language:"English" author_facet:"Bosq, Denis" Showing 1 - 4 of 4 Search: '"Statistics"', query time: 0.14s . Book List 0. Sort: Read Now. 1. Inference and prediction in large dimensions . by Bosq, Denis Published 2007 ...

Denis Bosq : tous les produits | fnac

Denis Bosq (Auteur) Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous...

Linear Processes in Function Spaces - Denis Bosq - Häftad ...

Pris: 1659 kr. Häftad, 2000. Skickas inom 10-15 vardagar. Köp Linear Processes in Function Spaces av Denis Bosq på Bokus.com.

DenisMath (Math SN4) – L'effort mène au succès

26 août 2020 Denis Math. Cahier SOMMETS et cahier Notes de cours; Plusieurs feuilles lignées; Crayons, efface, stylos rouge et bleu, surligneurs, règle 15 ou 30 cm; Calculatrice graphique ou scientifique (prêt ou achat) Calculatrice scientifiques conseillées : TI-30X IIS, Sharp EL-531 ou Casio fx-300ES plus. Calculatrices graphiques conseillées : TI-82, TI-83 ou TI-84. Formulaire de ...

CiNii Books 著者 - Bosq, Denis

Denis Bosq, Delphine Blanke. Wiley , Dunod c2007 Wiley series in probability and mathematical statistics : hard. 所蔵館21館 . 3. Linear processes in function spaces : theory and applications. D. Bosq. Springer c2000 Lecture notes in statistics v. 149. 所蔵館43館. 4. Nonparametric statistics for stochastic processes : estimation and prediction. D. Bosq. Springer c1998 2nd ed Lecture ...

楽天ブックス: Mathematical Statistics and Stochastic Processes ...

Mathematical Statistics and Stochastic Processes - Denis Bosq - 洋書の購入は楽天ブックスで。全品送料無料!購入毎に「楽天ポイント」が貯まってお得!みんなのレビュー・感想も満載。

Denis Bosq | Facebook

Denis Bosq ist bei Facebook. Tritt Facebook bei, um dich mit Denis Bosq und anderen Nutzern, die du kennst, zu vernetzen. Facebook gibt Menschen die...

MPG.eBooks - Search Results - "Probability Theory And ...

author_facet:"Bosq, Denis" Showing 1 - 3 of 3 Search: '"Probability Theory And Stochastic Processes"', query time: 0.51s . Book List 0. Sort: Read Now. 1. Nonparametric Statistics for Stochastic Processes : Estimation and Prediction . by Bosq, Denis Published 1996 ...

Suchergebnisse - DK 519.22 - katalog.ub.tu-freiberg.de

Treffer 1 - 2 von 2 für Suche 'DK 519.22', Suchdauer: 1,21s . Treffer pro Seite

Dieter Rasch Mathematical Statistics


Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.

7129.56 RUR

/ / похожие

Подробнее

Группа авторов A Guide to Business Statistics


An accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notation A Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more stream­lined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae. The author—an expert in the field—offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are intro­duced through examples, and the text is designed to be accessible to readers with a variety of backgrounds. To enhance learning, most of the mathematical formulae and notation appears in technical appendices at the end of each chapter. This important resource: • Offers a comprehensive guide to understanding business statistics targeting business and economics students and professionals • Introduces the concepts and techniques through concise and intuitive examples • Focuses on understanding by moving distracting formulae and mathematical notation to appendices • Offers intuition, insights, humor, and practical advice for students of business statistics • Features coverage of sampling techniques, descriptive statistics, probability, sampling distributions, confidence intervals, hypothesis tests, and regression Written for undergraduate business students, business and economics majors, teachers, and practitioners, A Guide to Business Statistics offers an accessible guide to the key concepts and fundamental principles in statistics. DAVID M. McEVOY, PhD, is an Associate Professor in the Economics Department at Appalachian State University in Boone NC. He has published over 20 peer-reviewed articles and is coeditor of two books. Dr. McEvoy is an award-winning educator who has taught undergraduate courses in business statistics for over 10 years. DAVID M. McEVOY, PhD, is an Associate Professor in the Economics Department at Appalachian State University in Boone NC. He has published over 20 peer-reviewed articles and is coeditor of two books. Dr. McEvoy is an award-winning educator who has taught undergraduate courses in business statistics for over 10 years.An accessible text that explains fundamental conceptsin business statistics that are often obscured by formulae and mathematical notationA Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more streamlined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae.The author—an expert in the field—offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are introduced through examples, and the text is designed to be accessible

5342.72 RUR

/ / похожие

Подробнее

Hesterberg Tim C. Mathematical Statistics with Resampling and R


This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as: Exploratory data analysis Calculation of sampling distributions The Central Limit Theorem Monte Carlo sampling Maximum likelihood estimation and properties of estimators Confidence intervals and hypothesis tests Regression Bayesian methods Throughout the book, case studies on diverse subjects such as flight delays, birth weights of babies, and telephone company repair times illustrate the relevance of the real-world applications of the discussed material. Key definitions and theorems of important probability distributions are collected at the end of the book, and a related website is also available, featuring additional material including data sets, R scripts, and helpful teaching hints. Mathematical Statistics with Resampling and R is an excellent book for courses on mathematical statistics at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians working in the areas of business, economics, biostatistics, and public health who utilize resampling methods in their everyday work.

13457.05 RUR

/ / похожие

Подробнее

Nikolaos Limnios Mathematical Methods in Survival Analysis, Reliability and Quality of Life


Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this situation: it includes 21 chapters divided into four parts: Survival analysis, Reliability, Quality of life, and Related topics. Many of these chapters were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.

21032.22 RUR

/ / похожие

Подробнее

Denis Bosq Inference and Prediction in Large Dimensions


This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive projection – with applications to tests of fit and prediction, and theory of linear processes in function spaces with applications to prediction of continuous time processes. This work is in the Wiley-Dunod Series co-published between Dunod (www.dunod.com) and John Wiley and Sons, Ltd.

10872.59 RUR

/ / похожие

Подробнее

Prabhanjan N. Tattar A Course in Statistics with R


Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models. Key features: Integrates R basics with statistical concepts Provides graphical presentations inclusive of mathematical expressions Aids understanding of limit theorems of probability with and without the simulation approach Presents detailed algorithmic development of statistical models from scratch Includes practical applications with over 50 data sets

8920.27 RUR

/ / похожие

Подробнее

Robert Bartoszynski Probability and Statistical Inference


Updated classic statistics text, with new problems and examples [/i][i]Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand the why and not just the how behind the introduced material. In this Third Edition, the reader will find a new chapter on Bayesian statistics, 70 new problems and an appendix with the supporting R code. This book is suitable for upper-level undergraduates or first-year graduate students studying statistics or related disciplines, such as mathematics or engineering. This Third Edition: Introduces an all-new chapter on Bayesian statistics and offers thorough explanations of advanced statistics and probability topics Includes 650 problems and over 400 examples – an excellent resource for the mathematical statistics class sequence in the increasingly popular «flipped classroom» format Offers students in statistics, mathematics, engineering and related fields a user-friendly resource Provides practicing professionals valuable insight into statistical tools  Probability and Statistical Inference  offers a unique approach to problems that allows the reader to fully integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic.

12973.95 RUR

/ / похожие

Подробнее

Daniel J. Denis Applied Univariate, Bivariate, and Multivariate Statistics


A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.

12529.56 RUR

/ / похожие

Подробнее

Anders Kallen Understanding Biostatistics


Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different statistical methods really mean. Graphics are used extensively throughout the book in order to introduce mathematical formulae in an accessible way. Key features: Discusses confidence intervals and p-values in terms of confidence functions. Explains basic statistical methodology represented in terms of graphics rather than mathematical formulae, whilst highlighting the mathematical basis of biostatistics. Looks at problems of estimating parameters in statistical models and looks at the similarities between different models. Provides an extensive discussion on the position of statistics within the medical scientific process. Discusses distribution functions, including the Guassian distribution and its importance in biostatistics. This book will be useful for biostatisticians with little mathematical background as well as those who want to understand the connections in biostatistics and mathematical issues.

9446.67 RUR

/ / похожие

Подробнее

Wendy J. Steinberg Statistics Alive!


Statistics need not be dull and dry! Statistics Alive! by Wendy J. Steinberg and new coauthor Matthew Price presents essential content on statistical analysis in short, digestible modules. Written in a conversational tone with anecdotal stories and light-hearted humor, this text is an enjoyable read. Students are shown the underlying logic to what they're learning, and well-crafted practice and self-check features help ensure that that new knowledge sticks. Coverage of probability theory and mathematical proofs is complemented by expanded conceptual coverage. The Third Edition includes simplified practice problems and increased coverage of conceptual statistics, integrated discussions of effect size with hypothesis testing, and new coverage of ethical practices for conducting research.

7538.03 RUR

/ / похожие

Подробнее
xn-----6kcbaa9dbc2aqlb2bt1d1e.xn--p1ai — Каталог цен и описаний на компьютерную и бытовую технику, товары для офис и дома, электронику, товаров для сада и дачи. Мы занимаемся поиском лучших цен в интернет магазинах по всей России, знаем где купить Denis Bosq Mathematical Statistics and по оптимальной цене в онлайн-магазинах. На нашем сайте xn-----6kcbaa9dbc2aqlb2bt1d1e.xn--p1ai предоставлена вся необходимая информация для правильной покупки Denis Bosq Mathematical Statistics and — фотографии товаров, отзывы пользователей, поиск по модели и производителю, наименованию или модели, инструкции по эксплуатации, а так же экспертные обзоры, сайты предлагающие покупу онлайн с доставкой заказа в ваш город.