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Nonlinear regression analysis and its applications

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A balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression. Provides background material on linear regression, including a geometrical development for linear and nonlinear least squares. The authors employ real data sets throughout, and their extensive use of geometric constructs and continuing examples makes the progression of ideas appear very natural. Includes pseudocode for computing algorithms.

Author(s): Douglas M. Bates, Donald G. Watts
Series: Wiley series in probability and mathematical statistics. Applied probability and statistics
Publisher: Wiley
Year: 1988

Language: English
Pages: 371
City: New York
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;