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Nonlinear Regression Analysis and Its Applications by Douglas M. Bates, Donald G. Watts

Nonlinear Regression Analysis and Its Applications Douglas M. Bates, Donald G. Watts ebook
Publisher: Wiley
ISBN: 9780470139004
Page: 392
Format: pdf

Oct 11, 2011 - In vitro anti-plasmodial activity of Dicoma anomala subsp. Apr 18, 2014 - Furthermore, it's not just inevitable wiggles from a smoothing method, it's a statistically significant pattern according to the quartic polynomial and step-function models, but I suspect some mixture of the nonlinear trend and the step-function Response: I'm hardly current with textbooks, but Shumway & Stoffer's “Time Series Analysis and its Applications” is pretty good. Mar 29, 2014 - Current state-of-the-art methods can yield models with high variance, rendering them unsuitable for a number of practical applications including QSAR. Technique for fitting nonlinear regression models: %B Proceedings 'Modelling, Simulation and Optimization' Conference, International Association of Science and Technology for Development (IASTED), 6-9 May 1996 Gold Coast: %D 1996. John VW Becker, Marina M van der Merwe, Anna . Ingber: %T Adaptive Simulated Annealing: %T Stochastic global optimization and its applications with fuzzy adaptive simulated annealing: %E H.A. Wold H: Soft modeling by latent variables: the nonlinear iterative partial least squares approach. Gerrardii (Asteraceae): identification of its main active constituent, structure-activity relationship studies and gene expression profiling. Aug 17, 2013 - AdaptFitOS, Adaptive Semiparametric Regression with Simultaneous Confidence Bands dlnm, Distributed Lag Non-linear Models NRAIA, Data sets from “Nonlinear Regression Analysis and Its Applications”. The IC50 values, serving as a measure for anti-plasmodial activities, were calculated by non-linear regression dose-response analysis using GraphPad Prism v.4.0 software. [21] developed a fast algorithm for fitting generalised linear models with various penalties, and we used their glmnet R package [22] to apply ridge regression and ridge logistic regression for classification purposes. This would seem to make that approach an especially complex way of doing standard regression. Jul 17, 2007 - The nonlinear least square fit function implemented by Bates and DebRoy into the “nls” packet of R was used for the sine fit (11). Bates D.M., Watts D.G.; Nonlinear Regression Analysis and Its Applications.