A Course in Mathematical Statistics and Large Sample Theory (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	August 2016
First published:	2016
Authors:	Rabi Bhattacharya • Lizhen Lin • Victor Patrangenaru
Dimensions:	260 x 185 x 26mm (L x W x T)
Format:	Hardcover
Pages:	389
Edition:	1st ed. 2016
ISBN-13:	978-1-4939-4030-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	1-4939-4030-9
Barcode:	9781493940301

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