Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
著者
書誌事項
Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
（Springer series in statistics）
Springer, c2004
2nd ed
大学図書館所蔵 全26件
注記
Includes bibliographical references (p. [227]-229) and index
内容説明・目次
内容説明
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.
目次
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.
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