A Course in Mathematical Statistics and Large Sample Theory

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book A Course in Mathematical Statistics and Large Sample Theory by Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru, Springer New York
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Author: Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru ISBN: 9781493940325
Publisher: Springer New York Publication: August 13, 2016
Imprint: Springer Language: English
Author: Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
ISBN: 9781493940325
Publisher: Springer New York
Publication: August 13, 2016
Imprint: Springer
Language: English

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.

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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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.

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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