Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling – PDF

Statistical Regression Modeling with R (PDF) provides a concise level of reference for probably the most generally used regression strategies. It begins with linear and nonlinear regression for logistic regression for binomially distributed information, usually distributed information, and Poisson regression and detrimental binomial regression for rely information. It then strikes to those regression fashions that work with longitudinal and multi-degree information constructions. The quantity is designed to information the transition from classical to extra superior regression modeling, as well as, to contribute to the speedy improvement of statistics and information science. With information and computing packages obtainable to ease readers’ studying expertise, Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling encourages the functions of R in linear, longitudinal, nonlinear, and multi-degree regression. All included datasets, alongside with the related R program in packages nlme and lme4 for multi-degree regression, are detailed in Appendix A. This ebook can be beneficial in graduate programs on utilized regression, as well as for practitioners and researchers within the fields of knowledge science, public well being, statistical analytics, and associated fields. NOTE: The product only contains the ebook Statistical Regression Modeling with R in PDF. No access codes are included.