Handbook of Bayesian, fiducial, and frequentist inference / edited by James Berger, Xiao-Li Meng, Nancy Reid, Min-ge Xie.

"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 ha...

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Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Other Authors: Berger, James O. (Editor), Meng, Xiao-Li (Editor), Reid, N. (Editor), Xie, Min-ge (Editor)
Other title:Bayesian, fiducial, and frequentist inference
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2024.
Edition:First edition.
Series:Chapman & Hall/CRC handbooks of modern statistical methods.
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Call Number: QA279.4
QA279.4 Available