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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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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Yuhlong Lio,Ding-Geng Chen,Tzong-Ru TsaiFeatures the latest developments in Bayesian statistical inference.Provides a necessary background of mathematical and statistical models.Explores the practical applicability of novel Bayesian statist

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Emerging Topics in Statistics and Biostatisticshttp://image.papertrans.cn/b/image/181849.jpg

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Bayesian Inference and Computation in Reliability and Survival Analysis

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A Bayesian Approach for Step-Stress-Accelerated Life Tests for One-Shot Devices Under Exponential Di priors are carried out to evaluate the performance of the Bayesian estimation in terms of bias and root mean square error. A real data on samples of grease-based magnetorheological fluids is analyzed for illustration of the Bayesian estimation.

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Review of Statistical Treatment for Oncology Dose-Escalation Trial with Prolonged Evaluation Window rages drug cycle information, adaptive time-to-event toxicity distribution, and three-parameter logistic regression extension on the basis of BLRM. In the toxicity interval-based class, we review R-TPI method for the Toxicity Probability Interval method, TITE-BOIN which imputes the unobserved DLT, a

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Bayesian Inferences for Panel Count Data and Interval-Censored Data with Nonparametric Modeling of tmodeled nonparametrically by assigning a Gamma process prior. Efficient Gibbs samplers are developed for the posterior computation under these three models for the two types of data. The proposed methods are evaluated in a simulation study and illustrated by three real-life data applications.