{"product_id":"continuous-bivariate-distributions-9781441918758","title":"Continuous Bivariate Distributions","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eUnivariate Distributions.- Bivariate Copulas.- Distributions Expressed as Copulas.- Concepts of Stochastic Dependence.- Measures of Dependence.- Construction of Bivariate Distributions.- Bivariate Distributions Constructed by the Conditional Approach.- Variables-in-Common Method.- Bivariate Gamma and Related Distributions.- Simple Forms of the Bivariate Density Function.- Bivariate Exponential and Related Distributions.- Bivariate Normal Distribution.- Bivariate Extreme-Value Distributions.- Elliptically Symmetric Bivariate Distributions and Other Symmetric Distributions.- Simulation of Bivariate Observations.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews of the second edition:\u003c\/p\u003e\u003cp\u003e“The authors present the forms, properties, dependence structures, computation, and applications of numerous continuous bivariate distributions. … One of the nice features of this edition is that it presents bivariate distributions that are generated by a variety of copulas. … The new edition is comprised of 14 chapters including references at the end of each chapter … and subject index at the end. … I can safely recommend this book as a handy resource manual for researchers as well as practitioners working in this area.” (Technometrics, Vol. 51 (4), November, 2009)\u003c\/p\u003e\u003cp\u003e“The book begins with a survey of univariate distributions, necessary to clarify notation in subsequent chapters. … Every time you open this volume, even at a random page, you’ll likely find something of interest. … You might well recommend it as collateral reading in a statistics class that you are teaching. As the students progress in their academic pursuits and\/or in their subsequent careers, it will be a useful reference.” (Barry C. Arnold, Mathematical Reviews, Issue 2012 h)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eUnivariate distributions. - Bivariate copulas. - Distributions expressed as copulas. - Concepts of stochastic dependence. - Measures of dependence. - Constructions of bivariate distributions.- Bivariate distributions constructed by conditional approach. - Variables in common method. - Bivariate gamma and related distributions. - Simple forms of the bivariate density function. - Bivariate exponentional and related distributions. - Bivariate normal distribution. - Bivariate extreme value distributions. - Elliptically symmetric bivariate distributions and other symmetric distributions. - Simulation of bivariate observations.","brand":"Springer","offers":[{"title":"Default Title","offer_id":51769659785559,"sku":"9781441918758","price":125.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781441918758.jpg?v=1758722105","url":"https:\/\/bookcurl.com\/products\/continuous-bivariate-distributions-9781441918758","provider":"Book Curl","version":"1.0","type":"link"}