Answers are grounded in this paper and cite their sources.
has been considered by David and Johnson in a recent issue of this journal [1]. In particular, they derive the maximum likelihood estimate of X and its asymptotic variance, and discuss the efficiency of estimation by moments. Distribution (ii) has been studied by Mloore [2], who provides a simple estimate of X and shows the effect of truncation at different values s. The purpose of the present note is to provide a similar estimate of X for distribution (i), to show that it is highly efficient, and to estimate its sampling variance. 2. Suppose that a sample of size N from a truncated Poisson distribution of type (i) gives N, observations equal to r(r = 1, 2, 3,) To estimate an arbitrary function 6(X), use quantities of the form
No takes yet. Share an insight, caveat, or question.
R. L. Plackett (1953) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: