Book DetailAuthor/Editor(s): Brian S. Everitt
Publication Date: December 1, 2011
Publisher: Chapman and Hall/CRC
Size: 1.84 MB
Book DescriptionA Whistle-Stop Tour of Statistics introduces basic probability and statistics through bite-size coverage of key topics. A review aid and study guide for undergraduate students, it presents descriptions of key concepts from probability and statistics in self-contained sections.
- Presents an accessible reference to the key concepts in probability and statistics
- Introduces each concept through bite-size descriptions and presents interesting real-world examples
- Includes lots of diagrams and graphs to clarify and illustrate topics
- Provides a concise summary of ten major areas of statistics including survival analysis and the analysis of longitudinal data
Written by Brian S, Everitt, the author of over 60 statistical texts, the book shows how statistics can be applied in the real world, with interesting examples and plenty of diagrams and graphs to illustrate concepts.
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