Richard M. Heiberger is Professor Emeritus in the Department of Statistics of Temple University, an elected Fellow of the American Statistical Association, and a former Chair of the Section on Statistical Computing of the American Statistical Association. He was Graduate Chair for the Department of Statistics and Acting Associate Vice Provost for the University. He participated in the design of the linear model and analysis of variance functions while on research leave at Bell Labs. He has taught short courses at the Joint Statistics Meetings, the American Statistical Association Conference on Statistical Practice, the R Users Conference, and the Deming Conference on Applied Statistics. He has consulted with several pharmaceutical companies.

Burt Holland was Professor in the Department of Statistics of Temple University, an elected Fellow of the American Statistical Association, Chair of the Department of Statistics of Temple University, and Chair of Collegial Assembly of the Fox School. He has taught short courses at the Joint Statistics Meetings and the Deming Conference on Applied Statistics. He has made many contributions to linear modeling and simultaneous statistical inference. He frequently served as consultant to medical investigators. He developed a very popular General Education course on Statistics and the News.

le, and Text Editing Tools)

Reproducibility: all graphs and tables in the book can be reproduced in R by the user with scripts included in the HH package available from CRAN and all datasets used in the book are also available for use with other software systems

New edition continues the exposition of data analysis methods with examples and graphics of distributions, regression, analysis of variance, design of experiments, contingency table analysis, nonparametrics, logistic regression, and time series analysis

Features color graphics throughout, with R code to produce all figures and tables in the book

New sections: on Likert Scale Data to pick up on the importance of rating scales in fields from population studies to psychometrics; on Medical, Pharmaceutical, and Social Science Examples; on mosaic graphics for discrete data; and on perception of graphics including discussions of color vision, microplots, and structured sets of graphs and panels

New and expanded appendices on software (HH, Shiny, Rcmdr, RExcel), mathematics (Computational Precision and Floating-Point Arithmetic, Mathematics Preliminaries, Probability Distributions), and Statistical Analysis and Writing (Working Style, Writing Sty

Includes supplementary material: [...]