{"product_id":"bootstrap-methods-with-applications-in-r-9783030734824","title":"Bootstrap Methods: With Applications in R","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book provides a comprehensive introduction to the bootstrap method, covering point estimation, test theory, multivariate linear regression models, and generalized linear models. It emphasizes the use of bootstrap procedures for goodness-of-fit tests and presents new methods with R implementations. The intended audience is graduate students with prior knowledge in probability theory and mathematical statistics. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 256 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 12 August 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThis comprehensive book offers a concise yet thorough introduction to the bootstrap method. In addition to covering classical results in point estimation and test theory, it delves into detailed explanations of multivariate linear regression models and generalized linear models. Special emphasis is placed on utilizing bootstrap procedures to perform goodness-of-fit tests, validating model or distributional assumptions. Furthermore, the book presents novel methods in certain instances.\u003cbr\u003e\u003cbr\u003eMotivated by practical applications and accompanied by clear R implementations, each chapter includes a section of exercises and concludes with rigorous proofs for the more mathematically inclined readers. The intended audience consists of graduate students with a solid foundation in probability theory and mathematical statistics.\u003cbr\u003e\u003cbr\u003eBy leveraging the bootstrap approach, this book empowers readers to effectively analyze and validate statistical models, making it an invaluable resource for researchers and practitioners in the fields of statistics and data analysis.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 421g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030734824\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2021\u003c\/p\u003e","brand":"Gerhard Dikta,Marsel Scheer","offers":[{"title":"Paperback \/ softback","offer_id":44102844023034,"sku":"9783030734824","price":58.3,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_d8085042-49f0-4f8f-b64b-56090adaf946.jpg?v=1670139683","url":"https:\/\/shulphink.com\/products\/bootstrap-methods-with-applications-in-r-9783030734824","provider":"Shulph Ink","version":"1.0","type":"link"}