Description: 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.
Price: 113.96 GBP
Location: London, UK
End Time: 2024-11-22T01:25:24.000Z
Shipping Cost: N/A GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Return policy details:
Title: Bayesian Inference And Computation In Reliability And Survival A
Weight: 834
EAN: 9783030886578
ISBN-10: 9783030886578
Date of Publication: 2022-08
Place of Publication: 2022-08
Book Series: Springer
Genre: MATHEMATICS / Probability & Statistics / Bayesian Analysis
Narrative Type: N/A
Features: N/A
Intended Audience: N/A
Ex Libris: No
Editor: N/A
Edition: N/A
Pagination: 384
Dimensions: 921x614
Item Height: 235 mm
Item Width: 155 mm
Series: Emerging Topics in Statistics and Biostatistics
Author: Hon Keung Tony Ng, Tzong-Ru Tsai, Yuhlong Lio, Ding-Geng Chen
Publication Name: Bayesian Inference and Computation in Reliability and Survival Analysis
Format: Hardcover
Language: English
Publisher: Springer Nature Switzerland A&G
Subject: Medicine, Mathematics
Publication Year: 2022
Type: Textbook
Number of Pages: 280 Pages
