Bayesian Statistics in Actuarial Science is popular PDF and ePub book, written by Stuart A. Klugman in 2013-04-17, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Bayesian Statistics in Actuarial Science can be Read Online from any device for your convenience.
Bayesian Statistics in Actuarial Science Book PDF Summary
The debate between the proponents of "classical" and "Bayesian" statistica} methods continues unabated. It is not the purpose of the text to resolve those issues but rather to demonstrate that within the realm of actuarial science there are a number of problems that are particularly suited for Bayesian analysis. This has been apparent to actuaries for a long time, but the lack of adequate computing power and appropriate algorithms had led to the use of various approximations. The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult. The second one takes on added significance as the actuary of today is expected to provide evidence concerning the quality of any estimates. While the examples are all actuarial in nature, the methods discussed are applicable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random effects model from analysis of variance.
Detail Book of Bayesian Statistics in Actuarial Science PDF
- Author : Stuart A. Klugman
- Release : 17 April 2013
- Publisher : Springer Science & Business Media
- ISBN : 9789401708456
- Genre : Business & Economics
- Total Page : 242 pages
- Language : English
- PDF File Size : 15,5 Mb
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