Nonlinear Statistical Models
Wiley Series in Probability and Statistics
1. Auflage Februar 1987
632 Seiten, Hardcover
Wiley & Sons Ltd
ISBN:
978-0-471-80260-0
John Wiley & Sons
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.
Univariate Nonlinear Regression.
Univariate Nonlinear Regression: Special Situations.
A Unified Asymptotic Theory for Nonlinear Models with RegressionStructure.
Univariate Nonlinear Regression: Asymptotic Theory.
Multivariate Nonlinear Regression.
Nonlinear Simultaneous Equations Models.
A Unified Asymptotic Theory for Dynamic Nonlinear Models.
References.
Index.
Univariate Nonlinear Regression: Special Situations.
A Unified Asymptotic Theory for Nonlinear Models with RegressionStructure.
Univariate Nonlinear Regression: Asymptotic Theory.
Multivariate Nonlinear Regression.
Nonlinear Simultaneous Equations Models.
A Unified Asymptotic Theory for Dynamic Nonlinear Models.
References.
Index.
A. Ronald Gallant, Professor of Economics and Liberal Arts Research Professor, The Pennsylvania State University, US.
