E-Book, Englisch, 234 Seiten, eBook
Huet / Bouvier / Poursat Statistical Tools for Nonlinear Regression
2. Auflage 2004
ISBN: 978-0-387-21574-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Practical Guide With S-PLUS and R Examples
E-Book, Englisch, 234 Seiten, eBook
Reihe: Springer Series in Statistics
ISBN: 978-0-387-21574-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R. Several additional tools are included in the package for calculating confidence regions for functions of parameters or calibration intervals, using classical methodology or bootstrap.
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
Nonlinear Regression Model and Parameter Estimation.- Accuracy of Estimators, Confidence Intervals and Tests.- Variance Estimation.- Diagnostics of Model Misspecification.- Calibration and Prediction.- Binomial Nonlinear Models.- Multinomial and Poisson Nonlinear Models.
