{"product_id":"bayesian-inference-and-computation-in-reliability-and-survival-analysis-9783030886608","title":"Bayesian Inference and Computation in Reliability and Survival Analysis","description":"\u003cp\u003eBayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners.\u003c\/p\u003e\u003cp\u003eBecause these theoretical and technological developments introduce new questions and challenges, and increase the complexity of the Bayesian framework, this book brings together experts engaged in groundbreaking research on Bayesian inference and computation to discuss important issues, with emphasis on applications to reliability and survival analysis. Topics covered are timely and have the potential to influence the interacting worlds of biostatistics, engineering, medical sciences, statistics, and more.\u003c\/p\u003e\u003cp\u003e The included chapters present current methods, theories, and applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research. \u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Yuhlong Lio\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Springer\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/02\/2023\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 364\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.18lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.79d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9783030886608\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Yuhlong Lio \u003c\/b\u003eis a professor with the Department of Mathematical Sciences at the University of South Dakota, Vermillion, SD, USA. He is an associate editor of professional journals, including the \u003ci\u003eJournal of Statistical Computation and Simulation\u003c\/i\u003e. He is the co-editor of \u003ci\u003eStatistical Modeling for Degradation Data\u003c\/i\u003e and \u003ci\u003eStatistical Quality Technologies: Theory and Practice\u003c\/i\u003e. His research interests include reliability, quality control, censoring methodology, kernel smoothing estimation, and accelerated degradation data modelling. Dr. Lio has more than 100 refereed publications.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Ding-Geng Chen\u003c\/b\u003e is a fellow of the American Statistical Association and currently the executive director and professor in biostatistics at Arizona State University. He was the Wallace Kuralt Distinguished Professor at the University of North Carolina at Chapel Hill, a professor in biostatistics at the University of Rochester, and the Karl E. Peace Endowed Eminent Scholar Chair in Biostatistics at Georgia Southern University. He is also a senior statistics consultant for biopharmaceuticals and government agencies with extensive expertise in Monte Carlo simulations, clinical trial biostatistics, and public health statistics. Dr. Chen has more than 200 refereed professional publications, and he has co-authored and co-edited 33 books on clinical trial methodology, meta-analysis, and public health applications. He has been invited nationally and internationally to give speeches on his research. Dr. Chen was honored with the \"Award of Recognition\" in 2014 by the Deming Conference Committee for highly successful advanced biostatistics workshop tutorials with his books.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Hon Keung Tony Ng\u003c\/b\u003e is currently a professor of statistical science with Southern Methodist University, Dallas, TX, USA. He is an associate editor of \u003ci\u003eCommunications in Statistics\u003c\/i\u003e, \u003ci\u003eComputational Statistics\u003c\/i\u003e, \u003ci\u003eIEEE Transactions on Reliability\u003c\/i\u003e, \u003ci\u003eJournal of Statistical Computation and Simulation\u003c\/i\u003e, \u003ci\u003eNaval Research Logistics\u003c\/i\u003e, \u003ci\u003eSequential Analysis\u003c\/i\u003e and \u003ci\u003eStatistics and Probability Letters\u003c\/i\u003e. His research interests include reliability, censoring methodology, ordered data analysis, nonparametric methods, and statistical inference. He has published more than 140 research papers in refereed journals. He is the co-author of the book \u003ci\u003ePrecedence-Type Tests and Applications\u003c\/i\u003e and co-editor of \u003ci\u003eStatistical Modeling for Degradation Data\u003c\/i\u003e, \u003ci\u003eStatistical Quality Technologies: Theory and Practice\u003c\/i\u003e, \u003ci\u003e Ordered Data Analysis, \u003c\/i\u003eand\u003ci\u003e Modeling and Health Research Methods\u003c\/i\u003e. Professor Ng is a fellow of the American Statistical Association, an elected senior member of IEEE, and an elected member of the International Statistical Institute.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Tzong-Ru Tsai\u003c\/b\u003e is currently the Dean of the College of Business and Management and a professor in the Department of Statistics at Tamkang University in New Taipei City, Taiwan. His main research interests include quality control, reliability analysis, and machine learning. He has served as a consultant with extensive expertise in statistical quality control and experimental design for many companies in the past years. He is the co-editor of \u003ci\u003eStatistical Modeling for Degradation Data\u003c\/i\u003e and \u003ci\u003eStatistical Quality Technologies: Theory and Practice\u003c\/i\u003e. He is an associate editor of the \u003ci\u003eJournal of Statistical Computation and Simulation\u003c\/i\u003e and \u003ci\u003eMathematics\u003c\/i\u003e. Dr. Tsai has more than 100 refereed publications.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":41347014164595,"sku":"9.78303E+12","price":237.72,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_6b367980-592f-4a31-843a-dfd3cce301c5.jpg?v=1707842961","url":"https:\/\/bookstorenmore.com\/products\/bayesian-inference-and-computation-in-reliability-and-survival-analysis-9783030886608","provider":"Bookstore N More","version":"1.0","type":"link"}