A Whistle-Stop Tour of Statistics

by Brian Everitt

Overview

The book is intended as a quick source of reference and as an aide-memoir for students taking A-level, undergraduate or postgraduate statistics courses. It includes numerous examples, helping instructors on such courses by providing their students with small data sets with which to work.

Product Details

ISBN-13:	9781040163153
Publisher:	CRC Press
Publication date:	12/01/2011
Sold by:	Barnes & Noble
Format:	eBook
Pages:	211
File size:	4 MB

About the Author

Brian Everitt is Retired from King's College London, UK.

Table of Contents

Some Basics and Describing Data. Probability. Estimation. Inference. Analysis of Variance Models. Linear Regression Models. Logistic Regression and the Generalized Linear Model. Survival Analysis. Longitudinal Data and Their Analysis. Multivariate Data and Their Analysis.

What People are Saying About This

From the Publisher

For an MAA member, this book might serve as a small desktop encyclopedia of statistics … . For someone with the mathematical prerequisites, it can answer questions such as ‘What is logistic regression?’ with a bit more detail than a dictionary of statistics.
—Robert W. Hayden, MAA Reviews, May 2012

Editorial Reviews

"I think that Everitt has been quite successful. All the standard topics, such as probability, estimation, hypothesis testing, analysis of variance, and regression, are discussed. The discussion is short, to the point, readable, and reliable. In addition, there are the more ‘advanced’ topics of logistic regression, survival analysis, longitudinal data analysis, and multivariate analysis, thus providing the reader with a short introduction to a wide array of the methods in the statistical arsenal without getting bogged down in detail. … a brief, but good, introduction to statistics. … excellent ‘refresher’ for those who have already experienced an introduction to statistics and want a slightly different approach or point of view."
—David Bellhouse, The American Statistician, November 2014

"For an MAA member, this book might serve as a small desktop encyclopedia of statistics … . For someone with the mathematical prerequisites, it can answer questions such as ‘What is logistic regression?’ with a bit more detail than a dictionary of statistics."
—Robert W. Hayden, MAA Reviews, May 2012

From the Publisher