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Selected Works of Peter J. Bickel, Jianqing Fan; Ya`acov Ritov; C.F. Jeff Wu


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Автор: Jianqing Fan; Ya`acov Ritov; C.F. Jeff Wu
Название:  Selected Works of Peter J. Bickel
ISBN: 9781493901616
Издательство: Springer
Классификация:
ISBN-10: 1493901613
Обложка/Формат: Paperback
Страницы: 584
Вес: 0.87 кг.
Дата издания: 13.12.2014
Серия: Selected Works in Probability and Statistics
Язык: English
Размер: 234 x 156 x 32
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume presents selections of Peter J. Peter`s amazing career encompasses the majority of statistical developments in the last half-century or about about half of the entire history of the systematic development of statistics. This volume shares insights on these exciting statistical developments with future generations of statisticians.


Selected Works

Автор: Anatolii V. Skorokhod; Andrey A. Dorogovtsev; Alex
Название: Selected Works
ISBN: 331928505X ISBN-13(EAN): 9783319285054
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The modern theory of stochasticprocesses is a fast-growing branch of probability theory which is now anindependent science in its own right, with its own methods and philosophy. The book is intended for a broad audience of researchersand students with an interest in probability theory, stochastic processes andtheir applications.

Selected Works of C.C. Heyde

Автор: Ross Maller; Ishwar Basawa; Peter Hall; Eugene Sen
Название: Selected Works of C.C. Heyde
ISBN: 1493940597 ISBN-13(EAN): 9781493940592
Издательство: Springer
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Цена: 27251.00 р.
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Описание: In 1945, very early in the history of the development of a rigorous analytical theory of probability, Feller (1945) wrote a paper called "The fundamental limit theorems in probability" in which he set out what he considered to be "the two most important limit theorems in the modern theory of probability: the central limit theorem and the recently discovered ... 'Kolmogoroff's cel- ebrated law of the iterated logarithm' ". A little later in the article he added to these, via a charming description, the "little brother (of the central limit theo- rem), the weak law of large numbers", and also the strong law of large num- bers, which he considers as a close relative of the law of the iterated logarithm. Feller might well have added to these also the beautiful and highly applicable results of renewal theory, which at the time he himself together with eminent colleagues were vigorously producing. Feller's introductory remarks include the visionary: "The history of probability shows that our problems must be treated in their greatest generality: only in this way can we hope to discover the most natural tools and to open channels for new progress. This remark leads naturally to that characteristic of our theory which makes it attractive beyond its importance for various applications: a combination of an amazing generality with algebraic precision.

Selected Works of Donald L. Burkholder

Автор: Burgess Davis; Renming Song
Название: Selected Works of Donald L. Burkholder
ISBN: 1493940694 ISBN-13(EAN): 9781493940691
Издательство: Springer
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Цена: 32004.00 р.
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Описание: This book chronicles Donald Burkholder`s 35-year study of martingales, and its consequences. It reprints most of Burkholder`s publications, as well as two commentaries which discuss his work and the remarkable spread of his ideas to many parts of mathematics.

Selected Works of R.M. Dudley

Автор: Evarist Gin?; Vladimir Koltchinskii; R. Norvai?a
Название: Selected Works of R.M. Dudley
ISBN: 1493940554 ISBN-13(EAN): 9781493940554
Издательство: Springer
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Описание: For almost fifty years, Richard M. Dudley has been extremely influential in the development of several areas of Probability. This book includes his major journal publications for the last fifty years as well as commentary by the editors.

Selected Works of Murray Rosenblatt

Автор: Richard A. Davis; Keh-Shin Lii; Dimitris N. Politi
Название: Selected Works of Murray Rosenblatt
ISBN: 1493939874 ISBN-13(EAN): 9781493939879
Издательство: Springer
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Описание: Murray Rosenblatt was a celebrated and leading figure in probability and statistics with particular emphasis on time series. This volume is a celebration of his stellar research career that spans six decades, and includes some of his most interesting papers.

Mathematical Statistics

Автор: Bickel
Название: Mathematical Statistics
ISBN: 1498722687 ISBN-13(EAN): 9781498722681
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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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.


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