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Titlebook: Bayesian Inference and Computation in Reliability and Survival Analysis; Yuhlong Lio,Ding-Geng Chen,Tzong-Ru Tsai Book 2022 The Editor(s)

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期刊全稱Bayesian Inference and Computation in Reliability and Survival Analysis
影響因子2023Yuhlong Lio,Ding-Geng Chen,Tzong-Ru Tsai
視頻videohttp://file.papertrans.cn/182/181849/181849.mp4
發(fā)行地址Features the latest developments in Bayesian statistical inference.Provides a necessary background of mathematical and statistical models.Explores the practical applicability of novel Bayesian statist
學(xué)科分類Emerging Topics in Statistics and Biostatistics
圖書封面Titlebook: Bayesian Inference and Computation in Reliability and Survival Analysis;  Yuhlong Lio,Ding-Geng Chen,Tzong-Ru Tsai Book 2022 The Editor(s)
影響因子.Bayesian 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..Because 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.. The included chapters present current methods, theories, and applic
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Infancy and First Language Acquisition, effect of two treatments and evaluate reliability. Bayesian computation is considered for inferring on the parameters of the Birnbaum–Saunders reliability model analyzed in this work. The methodology is applied to real fatigue data with the aid of the R software.
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Samuel D. Okegbile,Jun Cai,Changyan Yiily distribution that includes Burr XII, Gompertz, and Weibull distributions as special cases. Maximum likelihood estimation and Bayesian estimation methods for the model parameters are discussed. The existence and uniqueness of maximum likelihood estimates are established under some regular conditi
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Sebastian W?rwag,Alexandra Clootsan accelerated degradation test (ADT). Tsai et al. [.] applied bivariate Gamma process to model the two-variable ADT under the independent assumption. In this chapter, we consider three bivariate Gamma processes utilizing the Clayton, Frank, and Gumbel copulas to describe the dependence characterist
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Jasmine Grabher,Madeleine Grawehr lifetimes. We assume that both shape and scale parameters are related to various covariates in log-linear forms. Metropolis–Hastings sampling method is then used for the estimation of posterior means of quantities of interest. A simulation study and a sensitivity analysis are carried out to assess
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