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Mathematical Statistics, Bickel


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Цена: 14086.00р.
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Автор: Bickel
Название:  Mathematical Statistics
ISBN: 9781498722681
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1498722687
Обложка/Формат: Mixed media product
Страницы: 485
Вес: 1.06 кг.
Дата издания: 10.12.2015
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Иллюстрации: 1 illustrations, black and white
Размер: 186 x 261 x 29
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, BUSINESS & ECONOMICS / Statistics,MATHEMATICS / Probability & Statistics / General
Основная тема: Statistical Theory & Methods
Подзаголовок: Basic ideas and selected topics, volume ii
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point of view but also addresses new problems originating from the analysis of estimation of functions and other complex decision procedures and large-scale data analysis.

The book covers asymptotic efficiency in semiparametric models from the Le Cam and Fisherian points of view as well as some finite sample size optimality criteria based on Lehmann-Scheff theory. It develops the theory of semiparametric maximum likelihood estimation with applications to areas such as survival analysis. It also discusses methods of inference based on sieve models and asymptotic testing theory. The remainder of the book is devoted to model and variable selection, Monte Carlo methods, nonparametric curve estimation, and prediction, classification, and machine learning topics. The necessary background material is included in an appendix.

Using the tools and methods developed in this textbook, students will be ready for advanced research in modern statistics. Numerous examples illustrate statistical modeling and inference concepts while end-of-chapter problems reinforce elementary concepts and introduce important new topics. As in Volume I, measure theory is not required for understanding.

The solutions to exercises for Volume II are included in the back of the book.

Check out Volume I for fundamental, classical statistical concepts leading to the material in this volume.




Statistics: Principles and Methods, 7th Edition

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 35369.00 р.
Наличие на складе: Поставка под заказ.

Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

40 Puzzles and Problems in Probability and Mathematical Statistics

Автор: Schwarz
Название: 40 Puzzles and Problems in Probability and Mathematical Statistics
ISBN: 0387735119 ISBN-13(EAN): 9780387735115
Издательство: Springer
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Цена: 8384.00 р.
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Описание: The present book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. The author's own experience, both in learning and in teaching, is that challenging problems often provide more, and longer lasting, inductive insights than plain-style deductions from general concepts. Problems help to develop, and to sharpen our intuition for important probabilistical concepts and tools such as conditionaing or first-step analyses.Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are of course long known) or are variations of classical problems which follow directly from elementary concepts. A small number of particularly instructive problems is taken from previous sources which in this case are generally given.

Mathematical Statistics for Applied Econometrics

Автор: Moss
Название: Mathematical Statistics for Applied Econometrics
ISBN: 1466594098 ISBN-13(EAN): 9781466594098
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание:

An Introductory Econometrics Text

Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques.

Uses Computer Systems to Simplify Computation

The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques.

Students Understand the Reasons for the Results

Avoiding a cookbook approach to econometrics, this textbook develops students' theoretical understanding of statistical tools and econometric applications. It provides them with the foundation for further econometric studies.

Examples In Mathematical Statistics

Автор: Zacks
Название: Examples In Mathematical Statistics
ISBN: 1118605500 ISBN-13(EAN): 9781118605509
Издательство: Wiley
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Цена: 19475.00 р.
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Описание: This book presents examples that illustrate the theory of mathematical statistics and details how to apply the methods for solving problems. While other books on the topic contain problems and exercises, they do not focus on problem solving.

Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times

Автор: Prakash Gorroochurn
Название: Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times
ISBN: 1119127920 ISBN-13(EAN): 9781119127925
Издательство: Wiley
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Цена: 17733.00 р.
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Описание: "There is nothing like it on the market. no others are as encyclopedic. the writing is exemplary: simple, direct, and competent. " George W.

Course in Mathematical Statistics and Large Sample Theory

Название: Course in Mathematical Statistics and Large Sample Theory
ISBN: 1493940309 ISBN-13(EAN): 9781493940301
Издательство: Springer
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Цена: 9362.00 р.
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Описание: This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.

Basics of Modern Mathematical Statistics

Автор: Wolfgang Karl Hardle
Название: Basics of Modern Mathematical Statistics
ISBN: 3642368492 ISBN-13(EAN): 9783642368493
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book presents numerous exercises with solutions to help the reader better understand different aspects of modern statistics. It features applications with R and Matlab code that show how to practically use the methods.


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