Statistical tools for nonlinear regression : a practical guide with S-PLUS examples /

Statistical Tools for Nonlinear Regression presents methods for analyzing data using parametric nonlinear regression models. Using examples from experiments in agronomy and biochemistry, it shows how to apply the methods. Aimed at scientists who are not familiar with statistical theory, it concentra...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Huet, S. (Sylvie)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Springer, ©1996.
Colección:Springer series in statistics.
Temas:
Regression analysis.
Nonlinear theories.
Parameter estimation.
Regression Analysis
Analyse de régression.
Théories non linéaires.
Estimation d'un paramètre.
Analyse statistique.
Modèles économétriques.
Análisis de regresión
Teorías no lineales
Nonlinear theories
Parameter estimation
Regression analysis
S-PLUS
Nichtlineare Regression
Regressieanalyse.
Niet-lineaire modellen.
Estimation de paramètres.
Acceso en línea:Texto completo
Descripción
Sumario:Statistical Tools for Nonlinear Regression presents methods for analyzing data using parametric nonlinear regression models. Using examples from experiments in agronomy and biochemistry, it shows how to apply the methods. Aimed at scientists who are not familiar with statistical theory, it concentrates on presenting the methods in an intuitive way rather than developing the theoretical grounds. The book includes methods based on classical nonlinear regression theory and more modern methods, such as the bootstrap, that have proven effective in practice. The examples are analyzed with the software nls2 implemented in S-PLUS.
Descripción Física:1 online resource (ix, 154 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 149-151) and index.
ISBN:9781475725230
147572523X

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