Fundamentals of Mathematical Statistics - Statistical Inference (Paperback, Softcover reprint of the original 1st ed. 1989)

This is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior/Graduate level. The two main pedagogical aspects in these Volumes are: (i) the material is designed in lessons (each for a 50 minute class) with complementary exercises and home work. (ii) although the material is traditional, great care is exerted upon self-contained, rigorous and complete presentations. An elementary introduction to characteristic functions and probability measures and intergration, but not general measure theory in Volume I, allows a complete proof of some central limit theorems and a rigorous treatment of asymptotic of statistical inference. But students need to be familiar only with such things as Jacobians and eigenvalues of matrices. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	October 2011
First published:	1989
Authors:	Hung T. Nguyen • Gerald S. Rogers
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	422
Edition:	Softcover reprint of the original 1st ed. 1989
ISBN-13:	978-1-4613-8916-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-4613-8916-X
Barcode:	9781461389163

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