Some stochastic models leading to the convolution of two binomial variables
S. H. Ong
Statistics & Probability Letters, 1995, vol. 22, issue 2, 161-166
Abstract:
This paper considers three stochastic models leading to a distribution formed by the convolution of two binomial variables: (1) a Markov chain model; (2) a mixing model; and (3) a thinned stochastic process. An application of the mixing model to survey sampling is discussed.
Keywords: Bivariate; binomial; distribution; Markov; chain; Mixture; Survey; sampling; First-order; autoregressive; model; Thinned; process (search for similar items in EconPapers)
Date: 1995
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:22:y:1995:i:2:p:161-166
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