| 書目名稱 | Nonlinear Regression with R | | 編輯 | Christian Ritz,Jens Carl Streibig | | 視頻video | http://file.papertrans.cn/668/667675/667675.mp4 | | 概述 | Is unique because it approaches non-linear regression modeling through the functionality available in R,.such that the analysis in many respects is carried out using the same commands and functions as | | 叢書名稱 | Use R! | | 圖書封面 |  | | 描述 | .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.. | | 出版日期 | Book 2008 | | 關(guān)鍵詞 | Fitting; Regression analysis; grouped data; linear regression; regression diagnostics; self starter funct | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-09616-2 | | isbn_softcover | 978-0-387-09615-5 | | isbn_ebook | 978-0-387-09616-2Series ISSN 2197-5736 Series E-ISSN 2197-5744 | | issn_series | 2197-5736 | | copyright | Springer-Verlag New York 2008 |
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