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A Course in Mathematical Statistics and Large Sample Theory

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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Detail Information
Series Title
-
Call Number
519.5 BHA c
Publisher
: Springer.,
Collation
-
Language
English
ISBN/ISSN
978-1-4939-4032-5
Classification
519.5
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Statistical Theory and Methods
Probability Theory
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
umi
Source
https://link.springer.com/content/pdf/10.1007/978-1-4939-4032-5.pdf?pdf=button
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