| 11. | This family of distributions includes the Pascal and Poisson distributions as special cases.
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| 12. | This means that you can use the Poisson distribution.
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| 13. | *In Statistics, the limiting case of Binomial distribution is Poisson distribution.
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| 14. | Another count regression model is the " generalized Poisson distribution ".
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| 15. | We use the probability mass function for the Poisson distribution, which tells us that
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| 16. | Other examples of discrete univariate distributions include the negative binomial, and Poisson distributions.
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| 17. | Produce the Poisson distribution for this question and discuss its inplication for this problem.
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| 18. | Under the right circumstances, this is a random number with a Poisson distribution.
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| 19. | The probability function of the bivariate Poisson distribution is
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| 20. | A Poisson distribution is a necessary and sufficient condition that all detections are statistically independent.
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