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Binomial and Negative Binomial Analogues under Correlated Bernoulli Trials
Román Viveros, K. Balasubramanian and N. Balakrishnan
The American Statistician
Vol. 48, No. 3 (Aug., 1994), pp. 243-247
Stable URL: http://www.jstor.org/stable/2684728
Page Count: 5
You can always find the topics here!Topics: Customers, Binomials, Markov chains, Coefficients, Probabilities, Statistical models, Statistical variance, Brand switching, Recursion, Statistics
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Several statistical applications demand the adoption of models in which the response is binary but the outcomes of different trials exhibit some degree of correlation. Although the independent case is well known and treated even in elementary textbooks, results on correlated Bernoulli trials are hardly found in the literature. Analogues of the binomial and negative binomial distributions are presented in this article when the correlation is of the Markovian type. Probability-generating function, probability mass function, mean, and variance are derived. The analysis allows illustration of a variety of techniques useful in the study of discrete distributions appropriate for second-level probability courses. An example on customer brand switching discussed by Olkin, Glesser, and Derman is presented as illustration.
The American Statistician © 1994 American Statistical Association