A course in statistics with R - Tattar, Prabhanjan, 1979-; Ramaiah, Suresh, 1979-; Manjunath, B. G., 1981- (Chichester, West Sussex : Wiley, 2016)
The Preliminaries. Why R? -- The R Basics -- Data Preparation and Other Tricks -- Exploratory Data Analysis -- Probability and Inference. Probability Theory -- Probability and Sampling Distributions -- Parametric Inference -- Nonparametric Inference -- Bayesian Inference -- Stochastic Processes and Monte Carlo. Stochastic Processes -- Monte Carlo Computations -- Linear Models. Linear Regression Models -- Experimental Designs -- Multivariate Statistical Analysis - I -- Multivariate Statistical Analysis - II -- Categorical Data Analysis -- Generalized Linear Models -- Appendix A: Open Source Software: An Epilogue -- Appendix B: The Statistical Tables.
Includes bibliographical references and index.
Description based on print version record and CIP data provided by publisher.
Keywords: Mathematical statistics -- Data processing; R (Computer program language); Mathematical statistics -- Data processing; R (Computer program language); MATHEMATICS / Applied; MATHEMATICS / Probability & Statistics / General; Electronic books