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Bayesian Inference and Computation in Reliability and Survival Analysis

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 scien...

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Bibliographic Details
Other Authors: Lio, Yuhlong (Editor), Chen, Ding-Geng (Editor), Ng, Hon Keung Tony (Editor), Tsai, Tzong-Ru (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Emerging Topics in Statistics and Biostatistics
Subjects:
Clinical Medicine—research
Bayesian Network
Statistics 
Bayesian Inference
Clinical Research
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1. A Bayesian Approach for Step-stress Accelerated Life-tests for One-shot Devices under Exponential Distributions
  • 2. Bayesian Estimation of Stress-strength Parameter for Moran-Downton Bivariate Exponential Distribution under Progressive Type-II Censoring
  • 3. Bayesian Computation in A Birnbaum-Saunders Reliability Model with Applications to Fatigue Data
  • 4. A Competing Risks Model Based on A Two-parameter Exponential Family Distribution under Progressive Type-II Censoring
  • 5. Bayesian Computations for Reliability Analysis in Dynamic Environments
  • 6. Bayesian Analysis of Stochastic Processes in Reliability
  • 7. Bayesian Analysis of A New Bivariate Wiener Degradation Process
  • 8. Bayesian Estimation for Bivariate Gamma Processes with Copula
  • 9. Review of Statistical Treatment for Oncology Dose Escalation Trial with Prolonged Evaluation Window or Fast Enrollment
  • 10. A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments under Weibull Lifetimes
  • 11. Bayesian Sensitivity Analysis in Survival and Longitudinal Trial with Missing Data
  • 12. Bayesian Analysis for Clustered Data under A Semi-competing Risks Framework
  • 13. Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey’s Priors
  • 14. Bayesian Inferences for Panel Count Data and Interval-censored Data with Nonparametric Modeling of the Baseline Functions
  • 15. Bayesian Approach for Interval-censored Survival Data with Time-varying Coefficients
  • 16. Bayesian Approach for Joint-modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies

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