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Language: en
Pages: 728
Pages: 728
Type: BOOK - Published: 1991 - Publisher: Chapman and Hall/CRC
An examination of topics involved in statistical reasoning with imprecise probabilities. The book discusses assessment and elicitation, extensions, envelopes an
Language: en
Pages: 448
Pages: 448
Type: BOOK - Published: 2014-04-11 - Publisher: John Wiley & Sons
In recent years, the theory has become widely accepted and has beenfurther developed, but a detailed introduction is needed in orderto make the material availab
Language: en
Pages: 148
Pages: 148
Type: BOOK - Published: 2022 - Publisher: Springer Nature
This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo
Language: en
Pages: 326
Pages: 326
Type: BOOK - Published: 2007-01-01 - Publisher: Elsevier Health Sciences
Approached from the point of view of what you will need to know in order to understand the clinical work you will eventually be doing, this title includes a wid
Language: en
Pages: 376
Pages: 376
Type: BOOK - Published: 2013-12-11 - Publisher: Springer Science & Business Media
Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecis