R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and unified treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology. R. Subsequent chapters explain the salient features of the main fitting function nls (), the use of model diagnostics, how to deal with various model departures, and carry out hypothesis testing. In the final chapter grouped-data structures, including an example of a nonlinear mixed-effects regression model, are considered.
Christian Ritz & Jens Carl Streibig
Nonlinear Regression with R
Nonlinear Regression with R
Dil İngilizce ● Biçim PDF ● Sayfalar 148 ● ISBN 9780387096162 ● Dosya boyutu 1.7 MB ● Yayımcı Springer New York ● Kent NY ● Ülke US ● Yayınlanan 2008 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 2143765 ● Kopya koruma Sosyal DRM
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