Abstract
The discrete probability distributions are introduced in this chapter. The general rules of a discrete probability distributions are illustrated and the concepts of expected value and variance are shown. The rules are illustrated with a number of examples. This chapter includes brief introduction of the Bernoulli distribution, binomial distribution , Poisson distribution , geometric distribution , multinomial distribution, hypergeometric distribution and negative binomial distribution . The important properties of these distributions are discussed and illustrated with examples. The applications of these useful distributions are given high priority.
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Reference
Leiter, R. E., & Hamdan, M. A. (1973). Some bivariate models applicable to traffic accidents and fatalities. International Statistical Review, 41(1), 87–100.
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Islam, M.A., Al-Shiha, A. (2018). Probability Distributions: Discrete. In: Foundations of Biostatistics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8627-4_4
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DOI: https://doi.org/10.1007/978-981-10-8627-4_4
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