{"product_id":"9780470699454","title":"Statistical Methods for Fuzzy Data","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eStatistical Methods for Fuzzy Data\u003c\/h1\u003e\u003ch3\u003eReinhard Viertl\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eStatistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively.  \u003cp\u003eStatistical analysis methods have to be adapted for the analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy measurement results. Furthermore, statistical methods are then generalized to the analysis of fuzzy data and fuzzy a-priori information.\u003c\/p\u003e \u003cp\u003eKey Features:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides basic methods for the mathematical description of fuzzy data, as well as statistical methods that can be used to analyze fuzzy data.\u003c\/li\u003e \u003cli\u003eDescribes methods of increasing importance with applications in areas such as environmental statistics and social science.\u003c\/li\u003e \u003cli\u003eComplements the theory with exercises and solutions and is illustrated throughout with diagrams and examples.\u003c\/li\u003e \u003cli\u003eExplores areas such quantitative description of data uncertainty and mathematical description of fuzzy data.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis work is aimed at statisticians working with fuzzy logic, engineering statisticians, finance researchers, and environmental statisticians. It is written for readers who are familiar with elementary stochastic models and basic statistical methods.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cb\u003eReinhard Viertl is Professor of Applied Statistics at Vienna University of Technology.\u003cbr\u003e\u003c\/b\u003eProfessor Viertl has been working on statistical analysis of fuzzy data for about 20 years. He is the author of various publications including 5 books and more than 100 papers.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e21 February 2011\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470699454\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e272\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e16.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44379037925516,"sku":"9780470699454","price":113.36,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470699454.jpg?v=1780191636","url":"https:\/\/lateknightbooks.com\/products\/9780470699454","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}