Mathematical Programming in Statistics
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.
1101198484
Mathematical Programming in Statistics
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.
221.95 In Stock
Mathematical Programming in Statistics

Mathematical Programming in Statistics

Mathematical Programming in Statistics

Mathematical Programming in Statistics

Paperback(Revised ed.)

$221.95 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


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: 04/16/1993
Series: Wiley Classics Library , #42
Edition description: Revised ed.
Pages: 432
Product dimensions: 6.08(w) x 9.11(h) x 1.00(d)

About the Author

T. S. Arthanari and Dr. Yadolah Dodge are the authors of Mathematical Programming in Statistics, published by Wiley.

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.
From the B&N Reads Blog

Customer Reviews