Mathematical Statistics With Applications / Edition 1

Mathematical Statistics With Applications / Edition 1

ISBN-10:
082475400X
ISBN-13:
9780824754006
Pub. Date:
04/20/2005
Publisher:
Taylor & Francis
ISBN-10:
082475400X
ISBN-13:
9780824754006
Pub. Date:
04/20/2005
Publisher:
Taylor & Francis
Mathematical Statistics With Applications / Edition 1

Mathematical Statistics With Applications / Edition 1

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Overview

Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area.

Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials.

With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.

Product Details

ISBN-13: 9780824754006
Publisher: Taylor & Francis
Publication date: 04/20/2005
Series: Statistics: A Series of Textbooks and Monographs , #180
Edition description: New Edition
Pages: 644
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

Asha Seth Kapadia, Wenyaw Chan, Lemuel A. Moyé

Table of Contents

Series Introduction. Preface. Introduction. Review of Mathematics. Probability Theory. Random Variables. Discrete Probability Distributions. Continuous Probability Distributions. Order Statistics. Limiting Approaches. Point Estimation. Computational Statistics. Hypothesis Testing. Interval Estimation. Index.
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