標題: Titlebook: Bayesian Inference and Computation in Reliability and Survival Analysis; Yuhlong Lio,Ding-Geng Chen,Tzong-Ru Tsai Book 2022 The Editor(s) [打印本頁] 作者: Alacrity 時間: 2025-3-21 18:57
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書目名稱Bayesian Inference and Computation in Reliability and Survival Analysis讀者反饋學(xué)科排名
作者: insidious 時間: 2025-3-21 22:27 作者: exceed 時間: 2025-3-22 02:32
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.作者: 輕彈 時間: 2025-3-22 07:50
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作者: 真繁榮 時間: 2025-3-22 12:09 作者: 六邊形 時間: 2025-3-22 13:32 作者: Obsequious 時間: 2025-3-22 17:53 作者: 慢慢流出 時間: 2025-3-22 22:48
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作者: 樹上結(jié)蜜糖 時間: 2025-3-23 04:20 作者: 出價 時間: 2025-3-23 06:02
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 作者: ostracize 時間: 2025-3-23 11:00
Katrin Winkler,Nelly Heim,Tabea Heinzuch as the log-rank test and the Cox proportional hazards model assume non-informative censoring for time-to-event data, and mixed model analysis assumes missing-at-random (MAR) in longitudinal trials. Although such assumptions play a critical role in influencing the outcome of the analysis, there a作者: 躺下殘殺 時間: 2025-3-23 16:45 作者: 使尷尬 時間: 2025-3-23 21:45 作者: 粉筆 時間: 2025-3-23 23:31 作者: 初次登臺 時間: 2025-3-24 02:35
Jasmine Grabher,Madeleine Grawehrdata are very common in medical and epidemiological studies. In this chapter, we discuss a Bayesian approach for correlated interval-censored data under a dynamic Cox regression model. Some methods that incorporate right censoring have been developed for time-to-event data with temporal covariate ef作者: 細節(jié) 時間: 2025-3-24 08:23
Alexander Kuteynikov,Anatoly Boyashove considered a randomized clinical trial in which both longitudinal data and survival data were collected to compare the efficacy and the safety of two antiretroviral drugs in treating patients who had failed or were intolerant of zidovudine (AZT) therapy. Using these data, we demonstrated the advan作者: Efflorescent 時間: 2025-3-24 14:05
Bayesian Computation in a Birnbaum–Saunders Reliability Model with Applications to Fatigue Data 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.作者: 使激動 時間: 2025-3-24 15:33 作者: Perceive 時間: 2025-3-24 20:31
https://doi.org/10.1007/978-3-030-88658-5Bayes; Bayesian inference; statistical computing; reliability analysis; survival analysis作者: 新鮮 時間: 2025-3-25 02:53 作者: HAVOC 時間: 2025-3-25 04:27 作者: archetype 時間: 2025-3-25 10:29
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.作者: synchronous 時間: 2025-3-25 15:07 作者: 無可爭辯 時間: 2025-3-25 19:36
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作者: BABY 時間: 2025-3-25 20:55
Emerging Topics in Statistics and Biostatisticshttp://image.papertrans.cn/b/image/181849.jpg作者: GENRE 時間: 2025-3-26 02:10 作者: FAST 時間: 2025-3-26 07:19
Bayesian Inference and Computation in Reliability and Survival Analysis作者: audiologist 時間: 2025-3-26 12:05
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.作者: motivate 時間: 2025-3-26 13:27
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作者: Angioplasty 時間: 2025-3-26 19:34
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.作者: 四指套 時間: 2025-3-26 23:23
Book 2022issues, 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作者: 事與愿違 時間: 2025-3-27 05:07
Human Development in Bihar, India 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.作者: 注意到 時間: 2025-3-27 08:06 作者: Invertebrate 時間: 2025-3-27 11:14
https://doi.org/10.1007/978-3-658-26798-8modeled 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.作者: Intuitive 時間: 2025-3-27 15:03 作者: archaeology 時間: 2025-3-27 19:49 作者: Nonflammable 時間: 2025-3-27 23:57 作者: PTCA635 時間: 2025-3-28 02:41 作者: 令人苦惱 時間: 2025-3-28 09:44 作者: 評論者 時間: 2025-3-28 13:56
Bayesian Analysis of Stochastic Processes in Reliabilityas the missing data or uncertain data problem. The Bayesian approach relying on prior belief or expertise appears to be a natural tool in such situations. Thus the Bayesian approach provides efficient methods for reliability analysis with stochastic processes. The objective of this chapter is to des作者: 典型 時間: 2025-3-28 15:46 作者: 山頂可休息 時間: 2025-3-28 21:20 作者: 易發(fā)怒 時間: 2025-3-29 00:42
Review of Statistical Treatment for Oncology Dose-Escalation Trial with Prolonged Evaluation Window based approach including Continuous Reassessment Method (CRM) and Bayesian Logistic Regression Model (BLRM), and the toxicity interval-based algorithms such as Bayesian Optimal Interval Design (BOIN) and Toxicity Probability Interval method (TPI) and their respective variations. The focus of this ch作者: Ataxia 時間: 2025-3-29 03:29 作者: 奇怪 時間: 2025-3-29 10:23
Bayesian Sensitivity Analysis in Survival and Longitudinal Trials with Missing Datauch as the log-rank test and the Cox proportional hazards model assume non-informative censoring for time-to-event data, and mixed model analysis assumes missing-at-random (MAR) in longitudinal trials. Although such assumptions play a critical role in influencing the outcome of the analysis, there a作者: 強制性 時間: 2025-3-29 12:42
Bayesian Analysis for Clustered Data under a Semi-Competing Risks Framework. In particular, relapse for any disease is quite common, which makes usage of appropriate models indispensable. Conventional models including the logistic regression model are not appropriate in accounting for patients’ transitions who die before experiencing a relapse within a time of interest. To作者: 涂掉 時間: 2025-3-29 17:55 作者: 墊子 時間: 2025-3-29 20:56
Bayesian Inferences for Panel Count Data and Interval-Censored Data with Nonparametric Modeling of tred data are studied when the exact times of the events are of interest and these exact times are not directly observed but are only known to fall within some intervals formed by the observation times. Panel count data are under investigation when the exact times of the recurrent events are not of i作者: 橢圓 時間: 2025-3-30 03:48
Bayesian Approach for Interval-Censored Survival Data with Time-Varying Coefficientsdata are very common in medical and epidemiological studies. In this chapter, we discuss a Bayesian approach for correlated interval-censored data under a dynamic Cox regression model. Some methods that incorporate right censoring have been developed for time-to-event data with temporal covariate ef作者: 畫布 時間: 2025-3-30 06:23
Bayesian Approach for Joint Modeling Longitudinal Data and Survival Data Simultaneously in Public Hee considered a randomized clinical trial in which both longitudinal data and survival data were collected to compare the efficacy and the safety of two antiretroviral drugs in treating patients who had failed or were intolerant of zidovudine (AZT) therapy. Using these data, we demonstrated the advan作者: outer-ear 時間: 2025-3-30 10:49
Bayesian Analysis of a New Bivariate Wiener Degradation Processlifetime have analytic forms and are presented in this chapter. Statistical inference is conducted by data augmentation and Bayesian methods. Weak informative priors are considered, and Gibbs sampling method is utilized to draw sample for the evaluation of the unknown parameters. A simulated example is used for illustration purpose.作者: 五行打油詩 時間: 2025-3-30 15:56
A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments Under Weibuthe performance of the developed Bayesian approach with different priors. A comparison is also made with the likelihood estimates determined from an EM algorithm. Finally, a known mice tumor toxicology dataset is analyzed to illustrate the developed Bayesian approach.作者: 不真 時間: 2025-3-30 19:59 作者: 存在主義 時間: 2025-3-30 22:36
Jasmine Grabher,Madeleine Grawehrs like relapse and a terminal event like death. We develop Bayesian methods to analyze clustered data under the semi-competing risks framework. Subsequently, R program codes are provided to analyze publically available breast cancer data. Parameter estimations are performed based on Gibbs sampling within Metropolis–Hastings algorithm.作者: 長矛 時間: 2025-3-31 03:52 作者: Irrigate 時間: 2025-3-31 05:21 作者: 倔強一點 時間: 2025-3-31 09:49
Bayesian Analysis for Clustered Data under a Semi-Competing Risks Frameworks like relapse and a terminal event like death. We develop Bayesian methods to analyze clustered data under the semi-competing risks framework. Subsequently, R program codes are provided to analyze publically available breast cancer data. Parameter estimations are performed based on Gibbs sampling within Metropolis–Hastings algorithm.
