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The Resource From finite sample to asymptotic methods in statistics, Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
From finite sample to asymptotic methods in statistics, Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
Resource Information
The item From finite sample to asymptotic methods in statistics, Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item From finite sample to asymptotic methods in statistics, Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 "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
 Language
 eng
 Extent
 xii, 386 p.
 Contents

 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
 Isbn
 9780521877220
 Label
 From finite sample to asymptotic methods in statistics
 Title
 From finite sample to asymptotic methods in statistics
 Statement of responsibility
 Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
 Language
 eng
 Summary
 "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
 Cataloging source
 DLC
 http://library.link/vocab/creatorDate
 1937
 http://library.link/vocab/creatorName
 Sen, Pranab Kumar
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA276
 LC item number
 .S358 2010
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/relatedWorkOrContributorDate

 1950
 1961
 http://library.link/vocab/relatedWorkOrContributorName

 Singer, Julio da Motta
 Lima, Antonio C. Pedroso de
 Series statement
 Cambridge series in statistical and probabilistic mathematics
 http://library.link/vocab/subjectName

 Mathematical statistics
 Probabilities
 Estimation theory
 Asymptotic expansions
 Lehrbuch
 Statistik
 Asymptotic expansions
 Estimation theory
 Mathematical statistics
 Probabilities
 Label
 From finite sample to asymptotic methods in statistics, Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
 Bibliography note
 Includes bibliographical references (p. 375379) and index
 Contents
 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
 Dimensions
 26 cm.
 Extent
 xii, 386 p.
 Isbn
 9780521877220
 Isbn Type
 (hardback)
 Lccn
 2009034794
 Other physical details
 ill.
 System control number

 (OCoLC)435711040
 (OCoLC)ocn435711040
 Label
 From finite sample to asymptotic methods in statistics, Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima
 Bibliography note
 Includes bibliographical references (p. 375379) and index
 Contents
 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
 Dimensions
 26 cm.
 Extent
 xii, 386 p.
 Isbn
 9780521877220
 Isbn Type
 (hardback)
 Lccn
 2009034794
 Other physical details
 ill.
 System control number

 (OCoLC)435711040
 (OCoLC)ocn435711040
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