{"product_id":"combinatorial-inference-in-geometric-data-brigitte-le-roux-9781498781619","title":"Combinatorial Inference in Geometric Data Analysis","description":"\u003cp\u003eGeometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. \u003cb\u003e\u003ci\u003eCombinatorial Inference in Geometric Data Analysis\u003c\/i\u003e\u003c\/b\u003e gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework. \u003c\/p\u003e\u003cp\u003eIt focuses particularly on the comparison of a group of observations to a reference population (combinatorial test) or to a reference value of a location parameter (geometric test), and on problems of homogeneity, that is the comparison of several groups for two basic designs. These methods involve the use of combinatorial procedures to build a reference set in which we place the data. The chosen test statistics lead to original extensions, such as the geometric interpretation of the observed level, and the construction of a compatibility region.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFeatures: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDefines precisely the object under study in the context of multidimensional procedures, that is clouds of points\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003ePresents combinatorial tests and related computations with R and Coheris SPAD software \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eIncludes four original case studies to illustrate application of the tests \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eIncludes necessary mathematical background to ensure it is self-contained\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis book is suitable for researchers and students of multivariate statistics, as well as applied researchers of various scientific disciplines. It could be used for a specialized course taught at either master or PhD level.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Brigitte Le Roux,Solène Bienaise,Jean-Luc Durand\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1498781616\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781498781619\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 02\/22\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 256\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.22lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.63d","brand":"Brigitte Le Roux","offers":[{"title":"Hardcover","offer_id":48088450203903,"sku":"9781498781619","price":140.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_e68da668-596c-4721-8141-e6c1af95e691.jpg?v=1769104895","url":"https:\/\/www.whiterainbookhouse.com\/products\/combinatorial-inference-in-geometric-data-brigitte-le-roux-9781498781619","provider":"WR Book House","version":"1.0","type":"link"}