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Springer Texts in Statistics

Springer Texts in Statistics: Statistical Inference

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Springer Texts in Statistics: Statistical Inference

Nguyen, Hung T.; Rogers, Gerald S.

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.

Details

Published by: Springer

Publication Date: 2011-10-21

Format: Paperback

ISBN-13: 9781461389163

DOI: 10.1007/978-1-4613-8914-9

Dimensions: 235cm x155cm

Pages: 422

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