{"product_id":"introduction-to-probability-multivariate-models-and-applications-9781118123331","title":"Introduction to Probability: Multivariate Models and Applications","description":"\u003cp\u003e • Author(s): N. Balakrishnan\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Multivariate Analysis\u003c\/p\u003e\u003cp\u003e\u003cb\u003eINTRODUCTION TO PROBABILITY\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDiscover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eIntroduction to Probability: Multivariate Models and Applications, \u003c\/i\u003ea 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. \u003c\/p\u003e\u003cp\u003eThis textbook is intended as the sequel to\u003ci\u003e Introduction to Probability: Models and Applications.\u003c\/i\u003e 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 basic and advanced understanding of the theory. \u003c\/p\u003e\u003cp\u003eA wide range of topics are covered, including joint distributions for two or more random variables, independence of two or more variables, transformations of variables, covariance and correlation, a presentation of the most important multivariate distributions, generating functions and limit theorems. This important text: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIncludes classroom-tested problems and solutions to probability exercises \u003c\/li\u003e \u003cli\u003eHighlights real-world exercises designed to make clear the concepts presented \u003c\/li\u003e \u003cli\u003eUses Mathematica software to illustrate the text's computer exercises\u003c\/li\u003e \u003cli\u003eFeatures applications representing worldwide situations and processes \u003c\/li\u003e \u003cli\u003eOffers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for students majoring in statistics, engineering, business, psychology, operations research and mathematics taking a second course in probability, \u003ci\u003eIntroduction to Probability: Multivariate Models and Applications\u003c\/i\u003e is also an indispensable resource for anyone who is required to use multivariate distributions to model the uncertainty associated with random phenomena.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45031105036439,"sku":"9781118123331","price":9243.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781118123331.webp?v=1769206398","url":"https:\/\/atlanticbooks.com\/products\/introduction-to-probability-multivariate-models-and-applications-9781118123331","provider":"Atlantic Books","version":"1.0","type":"link"}