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 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 applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research.

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Description

Bayesian Inference and Computation in Reliability and Survival Analysis (Emerging Topics in Statistics and Biostatistics)

By Yuhlong Lio (Editor), Ding-Geng Chen (Editor), Hon Keung Tony Ng (Editor), Tzong-Ru Tsai (Editor)

Key Topics Covered:
- Bayesian Frameworks: Application of Bayesian methods to solve practical problems in reliability and survival analysis.
- Advancements in Bayesian Inference: Recent developments in Bayesian techniques and their implications for complex data analysis.
- Computational Technology: The role of advancements in computational technology and increased computer performance in enabling new Bayesian computing opportunities.
- Applications: Focuses on the use of Bayesian analysis in biostatistics, engineering, medical sciences, and statistics, with real-world applications that influence global health research.
Expert Contributions: Includes chapters from leading experts in Bayesian inference and computation, discussing current methods, theories, and applications in biostatistical analysis.
Potential Impact: The book aims to influence various fields such as biostatistics, engineering, and medical sciences, with a broader impact on global health research.

Bayesian Inference and Computation in Reliability and Survival Analysis (Emerging Topics in Statistics and Biostatistics) available at Book delivery.com for home delivery and cash on delivery all over Pakistan. You can contact for all kind of Medical Books.