{"product_id":"continuous-bivariate-distributions-9781441918758","title":"Continuous Bivariate Distributions","description":"\u003cp\u003e • Author(s): N. Balakrishnan\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eRandom variables are rarely independent in practice and so many multivariate distributions have been proposed in the literature to give a dependence structure for two or more variables. In this book, we restrict ourselves to the bivariate distributions for two reasons: (i) correlation structure and other properties are easier to understand and the joint density plot can be displayed more easily, and (ii) a bivariate distribution can normally be extended to a multivariate one through a vector or matrix representation. This volume is a revision of Chapters 1-17 of the previous book \u003cem\u003eContinuous Bivariate Distributions, Emphasising Applications \u003c\/em\u003eauthored by Drs. Paul Hutchinson and Chin-Diew Lai.\u003c\/p\u003e \u003cp\u003eThe book updates the subject of copulas which have grown immensely during the past two decades. Similarly, conditionally specified distributions and skewed distributions have become important topics of discussion in this area of research. This volume, which provides an up-to-date review of various developments relating to bivariate distributions in general, should be of interest to academics and graduate students, as well as applied researchers in finance, economics, science, engineering and technology.\u003c\/p\u003e \u003cp\u003eN. BALAKRISHNAN is Professor in the Department of Mathematics and Statistics at McMaster University, Hamilton, Ontario, Canada. He has published numerous research articles in many areas of probability and statistics and has authored a number of books including the four-volume series on \u003cem\u003eDistributions in Statistics\u003c\/em\u003e, jointly with Norman L. Johnson and S. Kotz, published by Wiley. He is a \u003cem\u003eFellow\u003c\/em\u003e of the American Statistical Association and the Institute of Mathematical Statistics, and the Editor-in-Chief of \u003cem\u003eCommunications in Statistics\u003c\/em\u003e and the Executive Editor of \u003cem\u003eJournal of Statistical Planning and Inference\u003c\/em\u003e.\u003c\/p\u003e \u003cp\u003eCHIN-DIEW LAI holds a Personal Chair in Statistics at Massey University, Palmerston North, New Zealand. He has published more than 100 peer-reviewed research articles and co-authored three well-received books. He was a former editor-in-chief and is now an Associate Editor of the \u003cem\u003eJournal of\u003c\/em\u003e \u003cem\u003eApplied Mathematics and Decision Sciences\u003c\/em\u003e.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274862256279,"sku":"9781441918758","price":9460.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781441918758.webp?v=1769281161","url":"https:\/\/atlanticbooks.com\/products\/continuous-bivariate-distributions-9781441918758","provider":"Atlantic Books","version":"1.0","type":"link"}