{"product_id":"9780817642013","title":"Empirical Process Techniques for Dependent Data","description":"\u003ch1\u003eEmpirical Process Techniques for Dependent Data\u003c\/h1\u003e \u003ch2\u003eDehling, Herold; Mikosch, Thomas; Sörensen, Michael\u003c\/h2\u003e \u003cp\u003eEmpirical process techniques for independent data have been used \nfor many years in statistics and probability theory. These techniques \nhave proved very useful for studying asymptotic properties of \nparametric as well as non-parametric statistical procedures. Recently, \nthe need to model the dependence structure in data sets from many \ndifferent subject areas such as finance, insurance, and \ntelecommunications has led to new developments concerning the \nempirical distribution function and the empirical process for \ndependent, mostly stationary sequences. This work gives an \nintroduction to this new theory of empirical process techniques, which \nhas so far been scattered in the statistical and probabilistic \nliterature, and surveys the most recent developments in various \nrelated fields. \n     Key features: A thorough and comprehensive introduction to the \nexisting theory of empirical process techniques for dependent data * \nAccessible surveys by leading experts of the most recent developments \nin various related fields * Examines empirical process techniques for \ndependent data, useful for studying parametric and non-parametric \nstatistical procedures * Comprehensive bibliographies * An overview of \napplications in various fields related to empirical processes: e.g., \nspectral analysis of time-series, the bootstrap for stationary \nsequences, extreme value theory, and the empirical process for mixing \ndependent observations, including the case of strong dependence. \n    To date this book is the only comprehensive treatment of the topic \nin book literature. It is an ideal introductory text that will serve \nas a reference or resource for classroom use in the areas of \nstatistics, time-series analysis, extreme value theory, point process \ntheory, and applied probability theory.         Contributors: P. Ango \nNze, M.A. Arcones, I. Berkes, R. Dahlhaus, J. Dedecker, H.G. Dehling,\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Birkhäuser\u003c\/p\u003e \u003cp\u003ePublication Date: 2002-08-19\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780817642013\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4612-0099-4\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 383\u003c\/p\u003e ","brand":"Birkhäuser Boston","offers":[{"title":"Default Title","offer_id":44341320712332,"sku":"9780817642013","price":143.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780817642013.jpg?v=1775767598","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780817642013","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}