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Nonlinear statistical models

Author: A Ronald Gallant
Publisher: New York : Wiley, 2010.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Additional Physical Format: Erscheint auch als:
Gallant, A. Ronald, 1942.
Nonlinear statistical models.
New York [u.a.] : Wiley, 1987
XII, 610 S.
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: A Ronald Gallant
ISBN: 9780470316719 0470316713 9780470317372 047031737X
OCLC Number: 1039312975
Description: Online Ressource (xii, 610 Seiten) : Illustrationen.
Contents: Nonlinear Statistical Models; Contents; 1. Univariate Nonlinear Regression; 2. Univariate Nonlinear Regression: Special Situations; 3. A Unified Asymptotic Theory d Nonlinear Modds with Regression Structure; 4. Univpriate Nonlinear Regression: Asymptotic Theory; 5. Multivariate Nonlinear Regression; 6. NonllneerSimultrrwous~nsModels; 7. A Unified Asymptotic Theory for Dyadc Nonlinear Models; References; Author Index; Subject Index.
Responsibility: A. Ronald Gallant.

Abstract:

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.

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