{"product_id":"tensor-methods-in-statistics-seco","title":"Tensor Methods in Statistics: Seco","description":"\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eBook Details\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u003c\/strong\u003e: Peter McCullagh\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Dover\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLanguage\u003c\/strong\u003e: English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEdition\u003c\/strong\u003e: Revised, Updated\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eISBN\u003c\/strong\u003e: 9780486823782\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePages\u003c\/strong\u003e: 279\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCover\u003c\/strong\u003e: Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Dimensions\u003c\/strong\u003e: 9.0 x 5.9 x 0.7 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAbout The Book\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eTensor Methods in Statistics\u003c\/strong\u003e, by \u003cstrong\u003ePeter McCullagh\u003c\/strong\u003e, is a pioneering monograph that applies tensor methods to distributional problems in statistics. This \u003cstrong\u003erevised and updated paperback edition\u003c\/strong\u003e, published by \u003cstrong\u003eDover\u003c\/strong\u003e, serves as a valuable reference for graduate students and professional statisticians seeking to understand advanced statistical techniques through the lens of tensor calculus.\u003c\/p\u003e\n\u003cp\u003eThe book begins with an introduction to \u003cstrong\u003eindex notation\u003c\/strong\u003e, \u003cstrong\u003egroups\u003c\/strong\u003e, \u003cstrong\u003einvariants\u003c\/strong\u003e, and \u003cstrong\u003etensor calculus\u003c\/strong\u003e, using examples from \u003cstrong\u003elinear algebra\u003c\/strong\u003e, \u003cstrong\u003ephysics\u003c\/strong\u003e, and \u003cstrong\u003estatistics\u003c\/strong\u003e. The core chapters cover topics such as \u003cstrong\u003emoments\u003c\/strong\u003e, \u003cstrong\u003ecumulants\u003c\/strong\u003e, \u003cstrong\u003esample cumulants\u003c\/strong\u003e, \u003cstrong\u003eEdgeworth series\u003c\/strong\u003e, \u003cstrong\u003esaddlepoint approximation\u003c\/strong\u003e, and \u003cstrong\u003eancillary statistics\u003c\/strong\u003e. Additional sections address \u003cstrong\u003elikelihood functions\u003c\/strong\u003e and \u003cstrong\u003elikelihood ratio statistics\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eWith \u003cstrong\u003e279 pages\u003c\/strong\u003e and more than \u003cstrong\u003e200 exercises\u003c\/strong\u003e, this work is an essential resource for statisticians looking to master the application of tensor methods in statistical analysis. The exercises complement the text, reinforcing key concepts and helping readers develop a deeper understanding of the material.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Dover","offers":[{"title":"Default Title","offer_id":49959626342704,"sku":"Sarat_9780486823782","price":1422.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/dover-book-default-title-tensor-methods-in-statistics-seco-41344681541936.jpg?v=1775960150","url":"https:\/\/www.retailmaharaj.com\/products\/tensor-methods-in-statistics-seco","provider":"Retail Maharaj","version":"1.0","type":"link"}