Hardcover. A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations models. Methods are illustrated with worked examples, complete with figures that display code and output. A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

Title: Nonlinear Statistical Models (Hardcover)
Publisher: John Wiley & Sons Inc, New York
Publication Date: 1987
Language: English
ISBN 10: 0471802603
ISBN 13: 9780471802600
Binding: Hardcover
Condition: new

About this title

Synopsis

A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations models. Methods are illustrated with worked examples, complete with figures that display code and output.

About the Author

A. Ronald Gallant, Professor of Economics and Liberal Arts Research Professor, The Pennsylvania State University, US.

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