From finite sample to asymptotic methods in statistics /

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Bibliographic Details
Author / Creator:Sen, Pranab Kumar, 1937-
Imprint:Cambridge ; New York : Cambridge University Press, ©2010.
Description:1 online resource (xii, 386 pages) : illustrations
Language:English
Series:Cambridge series in statistical and probabilistic mathematics
Cambridge series on statistical and probabilistic mathematics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11814647
Hidden Bibliographic Details
Other authors / contributors:Singer, Julio da Motta, 1950-
Lima, Antonio C. Pedroso de, 1961-
ISBN:0511639457
9780511639456
9780511641893
0511641893
9780511806957
0511806957
0521877229
9780521877220
1107210836
9781107210837
0511638388
9780511638381
0511640536
9780511640537
Notes:Includes bibliographical references (pages 375-379) and index.
English.
Print version record.
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.
Other form:Print version: Sen, Pranab Kumar, 1937- From finite sample to asymptotic methods in statistics. Cambridge, UK ; New York : Cambridge University Press, 2010 9780521877220