Asymptotic Theory of Statistics and Probability (Record no. 38504)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 5000075
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221213140638.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2008 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387759715
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-387-75971-5
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number 978-0-387-75971-5
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
090 ## - IMPA CODE FOR CLASSIFICATION SHELVES
IMPA CODE FOR CLASSIFICATION SHELVES Matemáticas Gerais-(inclusive alguns textos elementares sobre assuntos específicos)
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name DasGupta, Anirban
9 (RLIN) 9290
245 10 - TITLE STATEMENT
Title Asymptotic Theory of Statistics and Probability
Medium [electronic resource]/
Statement of responsibility, etc. by Anirban DasGupta.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York:
Name of publisher, distributor, etc. Springer New York,
Date of publication, distribution, etc. 2008.
300 ## - PHYSICAL DESCRIPTION
Extent XVII, 724p.
Other physical details digital.
490 0# - SERIES STATEMENT
Series statement Springer Texts in Statistics,
International Standard Serial Number 1431-875X
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Basic Convergence Concepts and Theorems -- Metrics, Information Theory, Convergence, and Poisson Approximations -- More General Weak and Strong Laws and the Delta Theorem -- Transformations -- More General Clts -- Moment Convergence and Uniform Integrability -- Sample Percentiles and Order Statistics -- Sample Extremes -- Central Limit theorems for Dependent Sequences -- Central Limit Theorem for Markov Chains -- Accuracy of Clts -- Invariance Principles -- Edgeworth Expansions and Cumulants -- Saddlepoint Approximations -- U-Statistics -- Maximum Likelihood Estimates -- M Estimates -- the Trimmed Mean -- Multivariate Location Parameter and Multivariate Medians -- Bayes Procedures and Posterior Distributions -- Testing Problems -- Asymptotic Efficiency in Testing -- Some General Large Deviation Results -- Classical Nonparametrics -- Two-Sample Problems -- Goodness of Fit -- Chi-Square Tests for Goodness of Fit -- Goodness of Fit With Estimated Parameters -- The Bootstrap -- Jackknife -- Permutation Tests -- Density Estimation -- Mixture Models and Nonparametric Deconvolution -- High Dimensional Inference and False Discovery .
520 ## - SUMMARY, ETC.
Summary, etc. This book is an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. It is written in an extremely lucid style, with an emphasis on the conceptual discussion of the importance of a problem and the impact and relevance of the theorems. The book has 34 chapters over a wide range of topics, nearly 600 exercises for practice and instruction, and another 300 worked out examples. It also includes a large compendium of 300 useful inequalities on probability, linear algebra, and analysis that are collected together from numerous sources, as an invaluable reference for researchers in statistics, probability, and mathematics. It can be used as a graduate text, as a versatile research reference, as a source for independent reading on a wide assembly of topics, and as a window to learning the latest developments in contemporary topics. The book is unique in its detailed coverage of fundamental topics such as central limit theorems in numerous setups, likelihood based methods, goodness of fit, higher order asymptotics, as well as of the most modern topics such as the bootstrap, dependent data, Bayesian asymptotics, nonparametric density estimation, mixture models, and multiple testing and false discovery. It provides extensive bibliographic references on all topics that include very recent publications. Anirban DasGupta is Professor of Statistics at Purdue University. He has also taught at the Wharton School of the University of Pennsylvania, at Cornell University, and at the University of California at San Diego. He has been on the editorial board of the Annals of Statistics since 1998 and has also served on the editorial boards of the Journal of the American Statistical Association, International Statistical Review, and the Journal of Statistical Planning and Inference. He has edited two monographs in the lecture notes monograph series of the Institute of Mathematical Statistics, is a Fellow of the Institute of Mathematical Statistics and has 70 refereed publications on theoretical statistics and probability in major journals .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
9 (RLIN) 43790
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics
9 (RLIN) 43558
697 ## - LOCAL SUBJECT
Local Subject Matemáticas Gerais-
Description subdivision (inclusive alguns textos elementares sobre assuntos específicos)
Linkage 23752
710 1# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service).
9 (RLIN) 8857
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780387759708
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Springer texts in statistics
9 (RLIN) 41182
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-0-387-75971-5">http://dx.doi.org/10.1007/978-0-387-75971-5</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Instituto de Matemática Pura e Aplicada
Koha item type E-Book

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