{"product_id":"the-statistical-analysis-of-doubly-truncated-data-with-applications-in-r-hardcover","title":"The Statistical Analysis of Doubly Truncated Data: With Applications in R - Hardcover","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\u003eJacobo de Uña-Álvarez\u003c\/b\u003e (Author), \u003cb\u003eRosa M. Crujeiras\u003c\/b\u003e (Author), \u003cb\u003eCarla Moreira\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA thorough treatment of the statistical methods used to analyze doubly truncated data\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eThe Statistical Analysis of Doubly Truncated Data, \u003c\/i\u003e an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. \u003c\/p\u003e\u003cp\u003eThe book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. \u003c\/p\u003e\u003cp\u003eFully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eA thorough introduction to the existing methods that deal with randomly truncated data\u003c\/li\u003e \u003cli\u003eComprehensive explorations of linear regression models for doubly truncated responses\u003c\/li\u003e \u003cli\u003ePractical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter\u003c\/li\u003e \u003cli\u003eIn-depth examinations of nonparametric and semiparametric estimators\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, \u003ci\u003eThe Statistical Analysis of Doubly Truncated Data\u003c\/i\u003e is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA thorough treatment of the statistical methods used to analyze doubly truncated data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn \u003ci\u003eThe Statistical Analysis of Doubly Truncated Data, \u003c\/i\u003e an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. \u003c\/p\u003e\u003cp\u003eThe book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. \u003c\/p\u003e\u003cp\u003eFully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book offers: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA thorough introduction to the existing methods that deal with randomly truncated data\u003c\/li\u003e \u003cli\u003eComprehensive explorations of linear regression models for doubly truncated responses\u003c\/li\u003e \u003cli\u003ePractical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter\u003c\/li\u003e \u003cli\u003eIn-depth examinations of nonparametric and semiparametric estimators\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAimed at statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, \u003ci\u003eThe Statistical Analysis of Doubly Truncated Data\u003c\/i\u003e is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJacobo de Uña-Álvarez\u003c\/b\u003e is Professor at the Department of Statistics and Operations Research, University of Vigo, Spain.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCarla Moreira\u003c\/b\u003e is Associate Researcher at the Centre of Mathematics, School of Sciences, University of Minho in Portugal. She is also affiliated to the Statistical Inference, Decision and Operations Research group, University of Vigo, Spain, and to the Epidemiology Research unit, Institute of Public Health, University of Porto, Portugal. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRosa M. Crujeiras\u003c\/b\u003e is Associate Professor at the Department of Statistics, Mathematical Analysis and Optimization, University of Santiago de Compostela, Spain.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 192\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 22, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47722729898243,"sku":"9781119951377","price":168.6,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0588\/9310\/7359\/files\/REsvY1dhRTZjbld3bUJVMUE1a21aUT09.webp?v=1770598323","url":"https:\/\/annizon.com\/en-ie\/products\/the-statistical-analysis-of-doubly-truncated-data-with-applications-in-r-hardcover","provider":"annizon.com","version":"1.0","type":"link"}