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Fundamentals of Mathematical Statistics, Hung T. Nguyen; Gerald S. Rogers


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Автор: Hung T. Nguyen; Gerald S. Rogers
Название:  Fundamentals of Mathematical Statistics
ISBN: 9780387970141
Издательство: Springer
Классификация:
ISBN-10: 0387970142
Обложка/Формат: Hardcover
Страницы: 432
Вес: 0.86 кг.
Дата издания: 25.07.1989
Серия: Springer Texts in Statistics
Язык: English
Размер: 243 x 162 x 29
Основная тема: Mathematics
Подзаголовок: Probability for Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. We suggest that the following distinguish this text from other introductions to mathematical statistics. 1. The most obvious thing is the layout. We have designed each lesson for the (U.S.) 50 minute class; those who study independently probably need the traditional three hours for each lesson. Since we have more than (the U.S. again) 90 lessons, some choices have to be made. In the table of contents, we have used a * to designate those lessons which are interesting but not essential (INE) and may be omitted from a general course; some exercises and proofs in other lessons are also INE. We have made lessons of some material which other writers might stuff into appendices. Incorporating this freedom of choice has led to some redundancy, mostly in definitions, which may be beneficial.


Basics of moderm mathematical Statistics

Автор: Spokoiny Vladimir, Dickhaus Thorsten
Название: Basics of moderm mathematical Statistics
ISBN: 366251348X ISBN-13(EAN): 9783662513484
Издательство: Springer
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Цена: 7825.00 р. 11179.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics.

Introduction to Mathematical Portfolio Theory

Автор: Joshi
Название: Introduction to Mathematical Portfolio Theory
ISBN: 1107042313 ISBN-13(EAN): 9781107042315
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: A concise yet comprehensive guide to the mathematics of portfolio theory from a modelling perspective, with discussion of the assumptions, limitations and implementations of the models as well as the theory underlying them. Aimed at advanced undergraduates, this book can be used for self-study or as a course text.

Mathematical Statistics

Автор: Shao Jun
Название: Mathematical Statistics
ISBN: 0387953825 ISBN-13(EAN): 9780387953823
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics.

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.

Fundamentals of Mathematical Statistics

Автор: Hung T. Nguyen; Gerald S. Rogers
Название: Fundamentals of Mathematical Statistics
ISBN: 146138916X ISBN-13(EAN): 9781461389163
Издательство: Springer
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Цена: 11173.00 р.
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Описание: This is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior/Graduate level. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.

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.

Fundamentals of Mathematical Evolutionary Genetics

Автор: Yuri M. Svirezhev; V.P. Passekov
Название: Fundamentals of Mathematical Evolutionary Genetics
ISBN: 9401076707 ISBN-13(EAN): 9789401076708
Издательство: Springer
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Цена: 15372.00 р.
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Mathematical Statistics

Автор: George R. Terrell
Название: Mathematical Statistics
ISBN: 1441931414 ISBN-13(EAN): 9781441931412
Издательство: Springer
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Цена: 11872.00 р.
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Описание: Whyanothertextbook? The statistical community generally agrees that at the upper undergraduate level, or the beginning master's level, students of statistics should begin to study the mathematical methods of the ?eld. We assume that by thentheywillhavestudiedtheusualtwo yearcollegesequence, includingcalculus through multiple integrals and the basics of matrix algebra. Therefore, they are ready to learn the foundations of their subject, in much more depth than is usual in an applied, "cookbook," introduction to statistical methodology. There are a number of well written, widely used textbooks for such a course. These seem to re?ect a consensus for what needs to be taught and how it should be taught. So, why do we need yet another book for this spot in the curriculum? I learned mathematical statistics with the help of the standard texts. Since then, Ihavetaughtthiscourseandsimilaronesmanytimes, atseveraldifferentuniversi ties, usingwell thought oftextbooks.Butfromthebeginning, Ifeltthatsomething was wrong. It took me several years to articulate the problem, and many more to assemble my solution into the book you have in your hand. You see, I spend the rest of my day in statistical consulting and statistical re search. I should have been preparing my mathematical statistics students to join me in this exciting work. But from seeing what the better graduating seniors and beginning graduate students usually knew, I concluded that the standard curricu lumwasnotteachingthemtobesophisticatedcitizensofthestatisticalcommunity.

Probability Theory and Mathematical Statistics

Автор: Shinzo Watanabe; Yurii V. Prokhorov
Название: Probability Theory and Mathematical Statistics
ISBN: 3540188142 ISBN-13(EAN): 9783540188148
Издательство: Springer
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Цена: 6282.00 р.
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Описание: Covers the proceedings of fifth joint meeting of Japanese and Soviet probabilists which are a sequel to "Lecture Notes in Mathematics Volumes 33O, 550 and 1O21". This book includes such topics as limit theorems, stochastic analysis, control theory, statistics, probabilistic methods in number theory and mathematical physics.

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.

Geometric Aspects of Probability Theory and Mathematical Statistics

Автор: V.V. Buldygin; A.B. Kharazishvili
Название: Geometric Aspects of Probability Theory and Mathematical Statistics
ISBN: 0792364139 ISBN-13(EAN): 9780792364139
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Demonstrates the usefulness of geometric methods in probability theory and mathematical statistics, and shows close relationships between these disciplines and convex analysis. This book is intended for mathematicians, and graduate and postgraduate students, whose interests lie in probability theory and convex geometry.

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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