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

"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

• 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.

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

"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

• 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.

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

"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

• 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.