Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
Author(s)
Bibliographic Information
Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
（Springer series in statistics）
Springer, c2004
2nd ed
Available at / 26 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
DC21:519.536/H8712070601441
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Note
Includes bibliographical references (p. [227]-229) and index
Description and Table of Contents
Description
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.
Table of Contents
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.
by "Nielsen BookData"