TY - BOOK ID - 4803441 TI - Nonlinear Regression with R AU - Ritz, Christian. AU - Streibig, Jens Carl. PY - 2008 SN - 9780387096162 0387096159 9780387096155 9786611926809 1281926809 0387096167 PB - New York, NY : Springer New York : Imprint: Springer, DB - UniCat KW - Statistics. KW - Statistical Theory and Methods. KW - Pharmacology/Toxicology. KW - Computational Intelligence. KW - Epidemiology. KW - Forestry. KW - Toxicology. KW - Forests and forestry. KW - Mathematical statistics. KW - Engineering. KW - Statistique KW - Toxicologie KW - Epidémiologie KW - Forêts et sylviculture KW - Statistique mathématique KW - Ingénierie KW - Nonlinear theories. KW - R (Computer program language). KW - Regression analysis --Data processing. KW - Regression analysis. KW - Regression analysis KW - Nonlinear theories KW - R (Computer program language) KW - Mathematics KW - Physical Sciences & Mathematics KW - Mathematical Statistics KW - Data processing KW - Data processing. KW - GNU-S (Computer program language) KW - Nonlinear problems KW - Nonlinearity (Mathematics) KW - Distribution (Probability theory. KW - Probability Theory and Stochastic Processes. KW - Domain-specific programming languages KW - Calculus KW - Mathematical analysis KW - Mathematical physics KW - Forest land KW - Forest lands KW - Forest planting KW - Forest production KW - Forest sciences KW - Forestation KW - Forested lands KW - Forestland KW - Forestlands KW - Forestry KW - Forestry industry KW - Forestry sciences KW - Land, Forest KW - Lands, Forest KW - Silviculture KW - Sylviculture KW - Woodlands KW - Woods (Forests) KW - Agriculture KW - Natural resources KW - Afforestation KW - Arboriculture KW - Logging KW - Timber KW - Tree crops KW - Trees KW - Diseases KW - Public health KW - Construction KW - Industrial arts KW - Technology KW - Chemicals KW - Medicine KW - Pharmacology KW - Poisoning KW - Poisons KW - Statistical inference KW - Statistics, Mathematical KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Distribution functions KW - Frequency distribution KW - Characteristic functions KW - Toxicology KW - Statistical methods KW - Probabilities. KW - Statistics . KW - Pharmacology. KW - Computational intelligence. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Drug effects KW - Medical pharmacology KW - Medical sciences KW - Chemotherapy KW - Drugs KW - Pharmacy KW - Statistical analysis KW - Statistical data KW - Statistical science KW - Econometrics KW - Probability KW - Combinations KW - Chance KW - Least squares KW - Mathematical statistics KW - Risk KW - Physiological effect UR - https://www.unicat.be/uniCat?func=search&query=sysid:4803441 AB - 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. The book begins with an introduction on how to fit nonlinear regression models in R. Subsequent chapters explain in more depth the salient features of the fitting function nls(), the use of model diagnostics, the remedies for various model departures, and how to do hypothesis testing. In the final chapter grouped-data structures, including an example of a nonlinear mixed-effects regression model, are considered. Christian Ritz has a PhD in biostatistics from the Royal Veterinary and Agricultural University. For the last 5 years he has been working extensively with various applications of nonlinear regression in the life sciences and related disciplines, authoring several R packages and papers on this topic. He is currently doing postdoctoral research at the University of Copenhagen. Jens C. Streibig is a professor in Weed Science at the University of Copenhagen. He has for more than 25 years worked on selectivity of herbicides and more recently on the ecotoxicology of pesticides and has extensive experience in applying nonlinear regression models. Together with the first author he has developed short courses on the subject of this book for students in the life sciences. ER -