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Nonlinear Regression with R


Nonlinear Regression with R


Use R!

von: Christian Ritz, Jens Carl Streibig

74,89 €

Verlag: Springer
Format: PDF
Veröffentl.: 11.12.2008
ISBN/EAN: 9780387096162
Sprache: englisch
Anzahl Seiten: 148

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

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.

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