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OverviewThis volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement Error, Transformation and Weighting, Epidemiology, Nonparametric and Semiparametric Regression for Independent Data, Nonparametric and Semiparametric Regression for Dependent Data, Robustness, and other work. The seven subject areas reviewed in this book were chosen by Ray himself, as were the articles representing each area. The commentaries not only review Ray’s work, but are also filled with history and anecdotes. Raymond J. Carroll’s impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in disciplinary science. From the outset of his career, rather than taking the “safe” route of pursuing incremental advances, Ray has focused on tackling the most important challenges. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression. Full Product DetailsAuthor: Marie Davidian , Xihong Lin , Jeffrey S. Morris , Leonard A. StefanskiPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2014 ed. Dimensions: Width: 15.50cm , Height: 3.30cm , Length: 23.50cm Weight: 1.057kg ISBN: 9783319058009ISBN 10: 3319058002 Pages: 579 Publication Date: 01 July 2014 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsMeasurement Error.- Transformation and Weighting.- Epidemiology.- Nonparametric and Semiparametric Regression for Independent Data.- Nonparametric and Semiparametric Regression for Dependent Data.- Robustness.- Other Work Article list for each of these areas is in attachment.ReviewsFrom the book reviews: This book details the work and research of a leading expert in the field of statistics, Raymond J. Carroll. ... collecting his most pertinent contributions to statistics is very helpful to professionals in this area. ... This book is useful to those who wish to have a single go-to reference for most of the important published articles by Dr. Carroll. It is also useful to those who are interested in the history and context of Dr. Carroll's articles. (Ashraf Khaled Abusara, Doody's Book Reviews, October, 2014) From the book reviews: This book details the work and research of a leading expert in the field of statistics, Raymond J. Carroll. ... collecting his most pertinent contributions to statistics is very helpful to professionals in this area. ... This book is useful to those who wish to have a single go-to reference for most of the important published articles by Dr. Carroll. It is also useful to those who are interested in the history and context of Dr. Carroll's articles. (Ashraf Khaled Abusara, Doody's Book Reviews, October, 2014) From the book reviews: This book details the work and research of a leading expert in the field of statistics, Raymond J. Carroll. collecting his most pertinent contributions to statistics is very helpful to professionals in this area. This book is useful to those who wish to have a single go-to reference for most of the important published articles by Dr. Carroll. It is also useful to those who are interested in the history and context of Dr. Carroll s articles. (Ashraf Khaled Abusara, Doody s Book Reviews, October, 2014) Author InformationRaymond J. Carroll is Distinguished Professor of Statistics, Nutrition, and Toxicology at Texas A&M University, where he has been on the faculty since 1987. He was the first statistician ever given a Method to Extend Research In Time (MERIT) Award from the National Cancer Institute (NCI) of the National Institutes of Health (NIH), receiving this honor for his seminal contributions to statistical methodology and the impact of that methodology on public health. He is the principal investigator of a NCI-funded Bioinformatics training program, and is the founding director of the Texas A&M Center for Statistical Bioinformatics. He is also the Director for the Texas A&M Institute of Applied Mathematics and Computational Science. Tab Content 6Author Website:Countries AvailableAll regions |