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Springer A Course in Mathematical Statistics and Large Sample Theory (Springer Texts in Statistics)

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 June 2018
Listed Since
17 August 2018

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