Fitting equations to data : computer analysis of multifactor data
Author(s)
Bibliographic Information
Fitting equations to data : computer analysis of multifactor data
（Wiley classics library）
Wiley, 1999, c1980
2nd ed, Wiley classics library ed
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Note
Includes bibliographical references (p. 449-451) and index
Originally published: 1980
Description and Table of Contents
Description
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.
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.
by "Nielsen BookData"
