Maximum likelihood estimation of the parameters of the bivariate binomial distribution
Title:
Maximum likelihood estimation of the parameters of the bivariate binomial distribution
Author:
Hamdan, M. A. Nasro, M. O.
Appeared in:
Communications in statistics
Paging:
Volume 15 (1986) nr. 3 pages 747-754
Year:
1986
Contents:
We consider the problem of maximum likelihood estimation of the parameters of the bxvariate binomial distribution, In the statistical literature, this problem is solved when the observed sample is available in the form of a 2x2 contingency table, that is, with all four cell fre quencies given,, The present paper provides a solution for this problem when only the marginal totals of the 2x2 table are observed, which is the natural set-up in a bivariate sampling situation.. Thus, based on a sample [(Xi,Yi:), i = 1,…,k] from a bivariate binomial popula¬tion, we derive maximum likelihood (ML) estimators for the two marginal parameters p1,p2: and the covariance parameter p11: It. turns out that the ML estimators for P1: and P2: are expressed explicitly in terms of the sample values, whereas the ML estimator for p11: can only be obtained numerically by iterative methods Two nu¬ merical illustrations are also presented
Journal description