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Loss Models: From Data to Decisions, 4th Edition
book

Loss Models: From Data to Decisions, 4th Edition

by Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
September 2012
Beginner to intermediate
536 pages
14h 40m
English
Wiley
Content preview from Loss Models: From Data to Decisions, 4th Edition

14.2 Negative binomial

The moment equations are

(14.1) equation

and

(14.2) equation

with solutions −1 and . Note that this variance estimate is obtained by dividing by n, not n − 1. This is a common, though not required, approach when using the method of moments. Also note that, if s2 < , the estimate of β will be negative, an inadmissible value.

EXAMPLE 14.3

(Example 14.1 continued) Estimate the negative binomial parameters by the method of moments.

The sample mean and the sample variance are 2.5 and 3.05 (verify this), respectively, and the estimates of the parameters are = 11.364 and = 0.22.

When compared to the Poisson distribution with the same mean, it can be seen that β is a measure of “extra-Poisson” ...

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Publisher Resources

ISBN: 9781118411650Purchase book