A course in mathematical statistics and large sample theory /
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Author / Creator: | Bhattacharya, Rabi, author. |
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Imprint: | New York, NY : Springer, 2016. |
Description: | 1 online resource (xi, 389 pages) : illustrations (some color) |
Language: | English |
Series: | Springer texts in statistics, 1431-875X Springer texts in statistics, |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11265443 |
Summary: | This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics. <br> Part I of this book constitutes a one-semester course on basic parametric mathematical statistics. Part II deals with the large sample theory of statistics - parametric and nonparametric, and its contents may be covered in one semester as well. Part III provides brief accounts of a number of topics of current interest for practitioners and other disciplines whose work involves statistical methods. |
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Physical Description: | 1 online resource (xi, 389 pages) : illustrations (some color) |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781493940325 1493940325 9781493940301 1493940309 |
ISSN: | 1431-875X |