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Title: Some properties of a moment estimator for the index parameter of negative binomial distribution

Conference ·
OSTI ID:7153582

Taking the mean of the negative binomial to be kP and the variance kP(1+p), a moment estimator of k is (m/sub 1/')/sup 2//(m/sub 2/-m/sub 1/'). From previous studies it is known that the series development for the moments of the momentor estimator k* appear to be markedly divergent (probably due to singularity in the denominator). The present study shows that the moments of 1/k* are more stable than those of k*. Thus, if we wish to make inference about k by using 4-moment distribution fitting, then the moments of 1/k* should be used, rather than those of k*. 2 refs., 2 tabs.

Research Organization:
Bell Communications Research, Inc., Red Bank, NJ (USA); Georgia Univ., Athens (USA); Oak Ridge National Lab., TN (USA)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
7153582
Report Number(s):
CONF-880872-3; ON: DE88011436
Resource Relation:
Conference: Joint statistical meetings, New Orleans, LA, USA, 22 Aug 1988; Other Information: Portions of this document are illegible in microfiche products
Country of Publication:
United States
Language:
English