{"product_id":"9780471322078","title":"Matrix Algebra for Applied Economics","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eMatrix Algebra for Applied Economics\u003c\/h1\u003e\u003ch3\u003eShayle R. Searle | Lois Schertz Willett\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eCoverage of matrix algebra for economists and students ofeconomics\u003cbr\u003e \u003cbr\u003e Matrix Algebra for Applied Economics explains the important tool ofmatrix algebra for students of economics and practicing economists.It includes examples that demonstrate the foundation operations ofmatrix algebra and illustrations of using the algebra for a varietyof economic problems.\u003cbr\u003e \u003cbr\u003e The authors present the scope and basic definitions of matrices,their arithmetic and simple operations, and describe specialmatrices and their properties, including the analog of division.They provide in-depth coverage of necessary theory and deal withconcepts and operations for using matrices in real-life situations.They discuss linear dependence and independence, as well as rank,canonical forms, generalized inverses, eigenroots, and vectors.Topics of prime interest to economists are shown to be simplifiedusing matrix algebra in linear equations, regression, linearmodels, linear programming, and Markov chains.\u003cbr\u003e \u003cbr\u003e Highlights include:\u003cbr\u003e * Numerous examples of real-world applications\u003cbr\u003e * Challenging exercises throughout the book\u003cbr\u003e * Mathematics understandable to readers of all backgrounds\u003cbr\u003e * Extensive up-to-date reference material\u003cbr\u003e \u003cbr\u003e Matrix Algebra for Applied Economics provides excellent guidancefor advanced undergraduate students and also graduate students.Practicing economists who want to sharpen their skills will findthis book both practical and easy-to-read, no matter what theirapplied interests.\u003c\/div\u003e\u003cdiv\u003e SHAYLE R. SEARLE, PhD, is Professor Emeritus of Biometry at CornellUniversity. He is the author of Linear Models, Linear Models forUnbalanced Data, Matrix Algebra Useful for Statistics, and also(with C. E. McCulloch) Generalized, Linear, and Mixed Models, allfrom Wiley.\u003cbr\u003e \u003cbr\u003e LOIS SCHERTZ WILLETT, PhD, is Professor of Food and ResourceEconomics at the University of Florida. She is the author ofnumerous scientific publications on economic markets and priceanalysis and has won several teaching awards for her instruction ineconomics, econometrics, and other quantitative analysis courses.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e13 September 2001\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-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471322078\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\u003e432\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e25.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315272413324,"sku":"9780471322078","price":179.96,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471322078_fce2d84e-fe85-4789-a72e-09b9560d20d1.jpg?v=1780105388","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780471322078","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}