A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with [...]
Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which [...]
Focuses on the practice of regression and analysis of variance. This book demonstrates the different methods available and in which situations they can be applied. It covers various standard topics, from the basics of estimation to missing data, factorial designs, and block designs, and includes dis[...]