<b>INTRODUCTION TO PROBABILITY</b><p><b>Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines</b><p>In <i>Introduction to Probability: Multivariate Models and Applications, </i>a team of distinguished researchers delivers a comprehensive exploration of the concepts, methods, and results in multivariate distributions and models. Intended for use in a second course in probability, the material is largely self-contained, with some knowledge of basic probability theory and univariate distributions as the only prerequisite. <p>This textbook is intended as the sequel to<i> Introduction to Probability: Models and Applications.</i> Each chapter begins with a brief historical account of some of the pioneers in probability who made significant contributions to the field. It goes on to describe and explain a critical concept or method in multivariate models and closes with two collections of exercises designed to test