Author(s): Prabhanjan Tattar, Suresh Ramaiah, B. G. Manjunath
ISBN: 978-81-8487-118-0 Publication Year: December 2013
Binding: Paper Back Dimension: 160mm x 240mm Weight:
About the book
A COURSE IN STATISTICS WITH R offers a comprehensive course in Statistics at the masters level. R is emerging as the computational language of the Statistics community and we have embedded it as the grammar of the book. We begin with the basic functions and then use the software in cleaning and preparing the available data sets in a "ready-form" for statistical inference. Probability Models and Statistical Inference (including estimation and testing hypotheses) are deliberated in a way which will streamline understanding of the theory and its nuances. Linear models, Design of Experiments, Multivariate Statistics, Sampling Theory, Categorical Data Analysis, and Generalized Linear Models have been addressed in a pedagogical manner which facilitates a strong understanding of the applied aspects of the subject. Further, a rigorous introduction of Bayesian Inference, Simulation, and Stochastic Processes consolidates the requirement of a masters student. It would suffice to say that the book is constructed with the aim of being a useful source of understanding Statistics with R."
Table of Contents
Why R? / The R Basics / Exploratory Data Analysis and Graphics / Data Preparation / Probability / Sampling Theory / Parametric Statistical Inference / Nonparametric Inference / Bayesian Inference / Simulation / Regression Models / Advanced Methods in Linear Models / Experimental Designs / Multivariate Statistical Analysis – I / Multivariate Statistical Analysis – II / Categorical Data Analysis / Generalized Linear Models / Finite Stochastic Processes / References / Index
Undergraduate – Postgraduate Students and Researchers