Bayesian Statistics in Actuarial Science with Emphasis on Credibility / by Stuart A. Klugman.

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 particula...

Full description

Saved in:
Bibliographic Details
Main Author: Klugman, Stuart A. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1992.
Edition:1st ed. 1992.
Series:Huebner International Series on Risk, Insurance and Economic Security, 15
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

MARC

LEADER 00000nam a22000005i 4500
001 b3193966
003 MWH
005 20191220130422.0
007 cr nn 008mamaa
008 130330s1992 ne | s |||| 0|eng d
020 |a 9789401708456 
024 7 |a 10.1007/978-94-017-0845-6  |2 doi 
035 |a (DE-He213)978-94-017-0845-6 
050 4 |a E-Book 
072 7 |a KJ  |2 bicssc 
072 7 |a BUS042000  |2 bisacsh 
072 7 |a KJ  |2 thema 
100 1 |a Klugman, Stuart A.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Bayesian Statistics in Actuarial Science  |h [electronic resource] :  |b with Emphasis on Credibility /  |c by Stuart A. Klugman. 
250 |a 1st ed. 1992. 
264 1 |a Dordrecht :  |b Springer Netherlands :  |b Imprint: Springer,  |c 1992. 
300 |a XIV, 238 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Huebner International Series on Risk, Insurance and Economic Security,  |x 0924-5014 ;  |v 15 
490 1 |a Springer eBook Collection 
505 0 |a 1. Introduction -- 2. Bayesian Statistical Analysis -- 3. Computational Aspects of Bayesian Analysis -- 4. Prediction with Parameter Uncertainty -- 5. The Credibility Problem -- 6. The Hierarchical Bayesian Approach -- 7. The Hierarchical Normal Linear Model -- 8. Examples -- 9. Modifications to the Hierarchical Normal Linear Model -- Appendix. Algorithms, Programs, and Data Sets -- A. The Simplex Method of Function Maximization -- B. Adaptive Gaussian Integration -- C. Gauss-Hermite Integration -- D. Polar Method for Generating Normal Deviates -- E. GAUSS Programs -- 1. Simplex Maximization -- 2. Adaptive Gaussian Integration -- 3. Gauss-Hermite Integration -- 4. Monte Carlo Integration -- 5. Tierney-Kadane Integration -- F. Data Sets -- 1. Data Set 1 -- 2. Data Sets 2–4. 
520 |a 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. 
590 |a Loaded electronically. 
590 |a Electronic access restricted to members of the Holy Cross Community. 
650 0 |a Business. 
650 0 |a Management science. 
650 0 |a Statistics . 
650 0 |a Finance. 
690 |a Electronic resources (E-books) 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
830 0 |a Huebner International Series on Risk, Insurance and Economic Security,  |x 0924-5014 ;  |v 15 
830 0 |a Springer eBook Collection. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-94-017-0845-6  |3 Click to view e-book  |t 0 
907 |a .b31939661  |b 04-18-22  |c 02-26-20 
998 |a he  |b 02-26-20  |c m  |d @   |e -  |f eng  |g ne   |h 0  |i 1 
912 |a ZDB-2-SBE 
912 |a ZDB-2-BAE 
950 |a Business and Economics (Springer-11643) 
902 |a springer purchased ebooks 
903 |a SEB-COLL 
945 |f  - -   |g 1  |h 0  |j  - -   |k  - -   |l he   |o -  |p $0.00  |q -  |r -  |s b   |t 38  |u 0  |v 0  |w 0  |x 0  |y .i21071299  |z 02-26-20 
999 f f |i 5d9dd7a6-2e3f-524b-bced-7599a793f83b  |s acc218d3-1873-54ec-b312-3f55028aa0e2  |t 0 
952 f f |p Online  |a College of the Holy Cross  |b Main Campus  |c E-Resources  |d Online  |t 0  |e E-Book  |h Library of Congress classification  |i Elec File