📘 Introduction to Mathematical Statistics [2018] Robert Hogg, Joseph McKean, Allen Craig For courses in mathematical statistics. Comprehensive coverage of mathematical statistics ― with a proven approach. 📕 A Course in Mathematical Statistics 2nd Edition [1997] George G. Roussas A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students. 📗 Contiguity of Probability Measures: Some Applications in Statistics [2008] George G. Roussas This Tract presents an elaboration of the notion of 'contiguity', which is a concept of 'nearness' of sequences of probability measures. It provides a powerful mathematical tool for establishing certain theoretical results with applications in statistics. 📙 An Introduction to probability and statistical inference [2003] George G. Roussas Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. . 📔 Introduction to Probability, Second Edition [2013] George G. Roussas Introduction to Probability is written for upper-level undergraduate students in statistics, mathematics, engineering, computer science, operations research, actuarial science, biological sciences, economics, physics, and some of the social sciences. 📕 An Introduction to Measure-Theoretic Probability [2014] George G. Roussas An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines measure-theoretic probability. 📘 An Introduction to Probability and Statistical Inference [2014] George G. Roussas Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences, and other fields.