Applied Multivariate Statistical Analysis (Classic Version) (6th Edition) (Pearson Modern Classics for Advanced Statistics Series)

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles.

Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

• An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
• Statistical Inference
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
• An Introduction to Applied Multivariate Analysis with R (Use R!)
• Statistical Inference
• Categorical Data Analysis
• Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
• Design and Analysis of Experiments (Springer Texts in Statistics)
• Mathematical Statistics with Applications
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data