Fitting Equations to Data: Computer Analysis of Multifactor Data / Edition 2

Fitting Equations to Data: Computer Analysis of Multifactor Data / Edition 2

by Cuthbert Daniel, Fred S. Wood, Daniel
     
 

ISBN-10: 0471376841

ISBN-13: 9780471376842

Pub. Date: 08/30/1999

Publisher: Wiley

Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropriate forms of the variables, to judge which combinations of variables are most influential, and to state the conditions under which the fitted equations are applicable

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Overview

Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropriate forms of the variables, to judge which combinations of variables are most influential, and to state the conditions under which the fitted equations are applicable. This edition includes numerous extensions and new devices such as component and component-plus-residual plots, cross verification with a second sample, and an index of required x-precision; also, the search for better subset equations is enlarged to cover 262,144 alternatives. The methods described have been applied in agricultural, environmental, management, marketing, medical, physical, and social sciences. Mathematics is kept to the level of college algebra.

Product Details

ISBN-13:
9780471376842
Publisher:
Wiley
Publication date:
08/30/1999
Series:
Wiley Classics Library Series, #75
Edition description:
REV
Pages:
458
Product dimensions:
6.32(w) x 9.29(h) x 0.86(d)

Table of Contents

Assumptions and Methods of Fitting Equations.

One Independent Variable.

Two or More Independent Variables.

Fitting an Equation in Three Independent Variables.

Selection of Independent Variables.

Some Consequences of the Disposition of the Data Points.

Selection of Variables in Nested Data.

Nonlinear Least Squares, a Complex Example.

Glossary.

User's Manual.

Bibliography.

Index.

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