Mathematics of Statistics, Part 1-2

Mathematics of Statistics, Part 1-2 by John Francis Kenney is a comprehensive guide to the mathematical concepts and techniques used in statistical analysis. The book is divided into two parts, with Part 1 covering the fundamental principles of probability theory and Part 2 delving into more advanced topics such as hypothesis testing, regression analysis, and multivariate analysis.The first part of the book begins with an introduction to the basic principles of probability theory, including probability distributions, expected values, and variance. It then moves on to cover more advanced topics such as conditional probability, Bayes' theorem, and the central limit theorem.Part 2 of the book focuses on statistical inference, starting with hypothesis testing and confidence intervals. It then covers regression analysis, including simple and multiple regression, and the analysis of variance. The book also includes a detailed discussion of multivariate analysis, including principal components analysis and factor analysis.Throughout the book, Kenney provides clear explanations of the mathematical concepts and techniques used in statistical analysis, making it accessible to readers with a range of mathematical backgrounds. The book also includes numerous examples and exercises to help readers develop their understanding and skills.Overall, Mathematics of Statistics, Part 1-2 is an essential resource for anyone studying statistics or working in a field that requires statistical analysis.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.