Description: 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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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
EAN: 9780387096155
UPC: 9780387096155
ISBN: 9780387096155
MPN: N/A
Item Height: 1.3 cm
Number of Pages: Xii, 148 Pages
Language: English
Publication Name: Nonlinear Regression with R
Publisher: Springer New York
Subject: Programming Languages / General, Probability & Statistics / General, Intelligence (Ai) & Semantics, Probability & Statistics / Regression Analysis, Pharmacology, Mathematical Analysis
Publication Year: 2008
Type: Textbook
Item Weight: 16 Oz
Author: Jens C. Streibig, Christian Ritz, Jens Carl Streibig
Subject Area: Mathematics, Computers, Medical
Item Length: 9.3 in
Item Width: 6.1 in
Series: Use R! Ser.
Format: Trade Paperback