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Binomial Distribution
(redirected from binomial distributions)

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Binomial Distribution
The distribution of successes and failures of a certain number of Bernoulli trials. A Bernoulli trial is a test in which there are precisely two random outcomes: success and failure. For example, if one is testing whether flipping a coin will result in heads, the two outcomes are yes (success) or no (failure). A binomial distribution, then, would be the number of heads compared to the number of tails in a given number of flips. It is also called a Bernoulli distribution.


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Introductory chapters bring readers up to date with the mathematics, probability and statistics preliminaries, with the chapters following describing families of discrete distributions, binomial distributions and negative binomial distribution, Poisson and hypergeometric distributions, logarithmic and Lagrangian distributions, mixture and stopped-sum distributions, matching, occupancy, runs, and q-series distributions, and parametric regression models.
Goodness-of-fit statistics for the lognormal, Poisson, and negative binomial distributions were calculated for the four individual species and for all species to help judge which error structure best characterized the MRFSS catch-rate data.
 
 
 
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