An Algorithm for the Mean and Variance of the Noncentral Hypergeometric Distribution
BiometricsPublished 1 September 1992
Jiangang Liao
Citations13
SJR quartileQ1
SJR score1.26
SNIP1.20
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Abstract
The mean and variance of the noncentral hypergeometric distribution are essential for obtaining maximum likelihood estimates for conditional logistic models for 2 x 2 tables. The numerical difficulty in directly computing them using the definition is discussed in detail by Satten and Kupper (1990). They also give an algorithm based on a continued fraction representation for the mean. We present here another algorithm, based on two equations in Harkness (1965):
Keywords
Mathematics
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