Handbook of Bayesian Fiducial and Frequentist Inference is popular PDF and ePub book, written by James Berger in 2024-02-26, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Handbook of Bayesian Fiducial and Frequentist Inference can be Read Online from any device for your convenience.
Handbook of Bayesian Fiducial and Frequentist Inference Book PDF Summary
The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference. Despite the tremendous progress that has been made, statistical science is still a young discipline and continues to have several different and competing paths in its approaches and its foundations. While the emergence of competing approaches is a natural progression of any scientific discipline, differences in the foundations of statistical inference can sometimes lead to different interpretations and conclusions from the same dataset. The increased interest in the foundations of statistical inference has led to many publications, and recent vibrant research activities in statistics, applied mathematics, philosophy and other fields of science reflect the importance of this development. The BFF approaches not only bridge foundations and scientific learning, but also facilitate objective and replicable scientific research, and provide scalable computing methodologies for the analysis of big data. Most of the published work typically focusses on a single topic or theme, and the body of work is scattered in different journals. This handbook provides a comprehensive introduction and broad overview of the key developments in the BFF schools of inference. It is intended for researchers and students who wish for an overview of foundations of inference from the BFF perspective and provides a general reference for BFF inference. Key Features: Provides a comprehensive introduction to the key developments in the BFF schools of inference Gives an overview of modern inferential methods, allowing scientists in other fields to expand their knowledge Is accessible for readers with different perspectives and backgrounds
Detail Book of Handbook of Bayesian Fiducial and Frequentist Inference PDF
- Author : James Berger
- Release : 26 February 2024
- Publisher : CRC Press
- ISBN : 9781003837640
- Genre : Mathematics
- Total Page : 421 pages
- Language : English
- PDF File Size : 20,6 Mb
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