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From finite sample to asymptotic met...

Lima, Antonio C. Pedroso de, (1961-)

From finite sample to asymptotic methods in statistics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	From finite sample to asymptotic methods in statistics /Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima.
Author:	Sen, Pranab Kumar,
other author:	Singer, Julio da Motta,
Published:	Cambridge, UK ;Cambridge University Press,2010.
Description:	xii, 386 p. :ill. ;27 cm.
Subject:	Mathematical statistics.
Online resource:	http://assets.cambridge.org/97805218/77220/cover/9780521877220.jpg
ISBN:	9780521877220 (hardback) :

From finite sample to asymptotic methods in statistics /
Sen, Pranab Kumar,1937-

From finite sample to asymptotic methods in statistics /Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima. - Cambridge, UK ;Cambridge University Press,2010. - xii, 386 p. :ill. ;27 cm. - Cambridge series in statistical and probabilistic mathematics. - Cambridge series on statistical and probabilistic mathematics..

Includes bibliographical references (p. 375-379) and index.

Motivation and basic tools -- Estimation theory -- Hypothesis testing -- Elements of statistical decision theory -- Stochastic processes: an overview -- Stochastic convergence and probability inequalities -- Asymptotic distributions -- Asymptotic behavior of estimators and tests -- Categorical data models -- Regression models -- Weak convergence and Gaussian processes.

"Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a reference for academic researchers"--Provided by publisher.

ISBN: 9780521877220 (hardback) :NT$2000

LCCN: 2009034794Subjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276 / S474 2010

Dewey Class. No.: 519.5

From finite sample to asymptotic methods in statistics /
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010 $a 2009034794
020 $a 9780521877220 (hardback) : $c NT$2000
020 $a 0521877229 (hardback)
035 $a (OCoLC)ocn435711040
035 $a 2009034794
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050 4 $a QA276 $b S474 2010
082 0 0 $a 519.5 $2 22
100 1 $a Sen, Pranab Kumar, $d 1937- $3 183034
245 1 0 $a From finite sample to asymptotic methods in statistics / $c Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima.
260 $a Cambridge, UK ; $a New York : $b Cambridge University Press, $c 2010.
300 $a xii, 386 p. : $b ill. ; $c 27 cm.
490 1 $a Cambridge series in statistical and probabilistic mathematics
504 $a Includes bibliographical references (p. 375-379) and index.
505 0 $a Motivation and basic tools -- Estimation theory -- Hypothesis testing -- Elements of statistical decision theory -- Stochastic processes: an overview -- Stochastic convergence and probability inequalities -- Asymptotic distributions -- Asymptotic behavior of estimators and tests -- Categorical data models -- Regression models -- Weak convergence and Gaussian processes.
520 $a "Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a reference for academic researchers"--Provided by publisher.
650 0 $a Mathematical statistics. $3 181877
650 0 $a Probabilities. $3 182046
650 0 $a Estimation theory. $3 181864
650 0 $a Asymptotic expansions. $3 215351
700 1 $a Singer, Julio da Motta, $d 1950- $3 546342
700 1 $a Lima, Antonio C. Pedroso de, $d 1961- $3 546343
830 0 $a Cambridge series on statistical and probabilistic mathematics. $3 183827
856 4 2 $3 Cover image $u http://assets.cambridge.org/97805218/77220/cover/9780521877220.jpg