Mathematical Programming in Statistics / Edition 1

Mathematical Programming in Statistics / Edition 1

by T. S. Arthanari, Yadolah Dodge
     
 

ISBN-10: 0471592129

ISBN-13: 9780471592129

Pub. Date: 04/01/1993

Publisher: Wiley

Develops the theory and methods of mathematical programming for application to problems in statistics. Exploits the structure of the problem under consideration in order to develop efficient solutions. Provides extensive examples of applications, tables on minimal connected designs, BIB design with k-3, bibliographic notes and references.  See more details below

Overview

Develops the theory and methods of mathematical programming for application to problems in statistics. Exploits the structure of the problem under consideration in order to develop efficient solutions. Provides extensive examples of applications, tables on minimal connected designs, BIB design with k-3, bibliographic notes and references.

Product Details

ISBN-13:
9780471592129
Publisher:
Wiley
Publication date:
04/01/1993
Series:
Wiley Classics Library Series, #42
Pages:
432
Product dimensions:
6.08(w) x 9.11(h) x 1.00(d)

Table of Contents

Prologue.

Linear Regression Analysis.

Generalized Inverses in Linear Statistical Models.

Theory of Testing Statistical Hypotheses.

Sampling.

Design and Analysis of Experiment.

Cluster Analysis.

Epilogue.

Index.

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