{"product_id":"handbook-of-quantile-regression-paperback","title":"Handbook of Quantile Regression - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRoger Koenker\u003c\/b\u003e (Editor), \u003cb\u003eVictor Chernozhukov\u003c\/b\u003e (Editor), \u003cb\u003eXuming He\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eQuantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile regression simply replaces symmetric absolute loss by asymmetric linear loss.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSince its introduction in the 1970's by Koenker and Bassett, quantile regression has been gradually extended to a wide variety of data analytic settings including time series, survival analysis, and longitudinal data. By focusing attention on local slices of the conditional distribution of response variables it is capable of providing a more complete, more nuanced view of heterogeneous covariate effects. Applications of quantile regression can now be found throughout the sciences, including astrophysics, chemistry, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major statistical computing environments.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe intended audience of the volume is researchers and graduate students across a diverse set of disciplines. \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eRoger Koenker\u003c\/strong\u003e, \u003cb\u003e \u003c\/b\u003eUniversity of Illinois\u003c\/p\u003e\u003cp\u003eVictor Chernozhukov, \u003cb\u003e \u003c\/b\u003eMIT\u003c\/p\u003e\u003cp\u003eXuming He, \u003cb\u003e \u003c\/b\u003eUniversity of Michigan \u003c\/p\u003e\u003cp\u003eLimin Peng, Emory University\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 484\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.97 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 30, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52705413955891,"sku":"9780367657574","price":122.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/p_2bUUiwuG9780367657574.webp?v=1763380567","url":"https:\/\/www.vysn.com\/en-ca\/products\/handbook-of-quantile-regression-paperback","provider":"VYSN","version":"1.0","type":"link"}