| 31. | Note : The negative binomial distribution was originally derived as a limiting case of the gamma-Poisson distribution.
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| 32. | The shift geometric distribution is discrete compound Poisson distribution since it is a trivial case of negative binomial distribution.
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| 33. | When some \ alpha _ k are non-negative, it is the discrete pseudo compound Poisson distribution.
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| 34. | Exceptions when it is certain that parametric tests are exact include tests based on the binomial or Poisson distributions.
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| 35. | In the limiting case of \ beta \ rightarrow 1 it is Poisson distribution, as with classical graphs.
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| 36. | The Poisson distribution arises as the number of points of a Poisson point process located in some finite region.
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| 37. | The Poisson distribution is characteristic of coherent light while the Bose-Einstein distribution is characteristic of thermal light.
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| 38. | The distribution that follows from the directed adaptation hypothesis ( the Poisson distribution ) predicted moments inconsistent with the data.
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| 39. | For example, the squared-SNR of an incident Poisson distribution of q quanta per square millimeter is given by
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| 40. | He then found the limiting case, which is effectively recasting the Poisson distribution as a limit of the binomial distribution.
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