Linear Statistical Inference and Its Applications

The purpose of this book is to present up-to-date theory and techniques of statistical inference in a logically integrated and practical form. Essentially, it incorporates the important developments in the subject that have taken place in the last three decades. It is written for readers with background knowledge of mathematics and statistics at the undergraduate level. Algebra of vectors and matrices. Probability theory, tools and techniques. Continuous probability models. The theory of least squares and analysis of variance. Criteria and methods of estimation. Large sample theory and methods. Theory of statistical inference. Multivariate analysis.

• An Introduction to Multivariate Statistical Analysis, 3rd Edition
• Causal Inference in Statistics: A Primer
• Statistical Inference
• Introductory Functional Analysis with Applications
• Sampling Techniques, 3Rd Edition
• An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition
• Statistical Quality Control: A Modern Introduction, 6Th Ed
• An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
• The Book of Why: The New Science of Cause and Effect
• Pattern Classification