Using R for Introductory Statistics
by John Verzani
Publisher: Chapman & Hall/CRC 2004
ISBN/ASIN: 1584884509
ISBN-13: 9781584884507
Number of pages: 114
Description:
The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R.
Download or read it online for free here:
Download link
(2.1MB, PDF)
Similar books
Dynamic Programming and Bayesian Inference: Concepts and Applicationsby Mohammad Saber Fallah Nezhad (ed.) - InTech
Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. The purpose of this volume is to provide some applications of Bayesian optimization and dynamic programming.
(4768 views)
Experimental Design and Analysisby Howard J. Seltman - Carnegie Mellon University
This book is intended as required reading material for the course Experimental Design for the Behavioral and Social Sciences, a second level statistics course for undergraduate students in the College of Humanities and Social Sciences...
(9992 views)
Multivariate Statistics: Concepts, Models, and Applicationsby David W. Stockburger - Missouri State University
The book for a course in multivariate statistics for first year graduate or advanced undergraduates. It is neither a mathematical treatise nor a cookbook. Instead of complicated mathematical proofs the author wrote about mathematical ideas.
(9929 views)
Introduction to the Theory of Statisticsby A. M. Mood, F. A. Graybill, D. C. Boes - McGraw-Hill
A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. Third revised edition.
(24969 views)