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2. Joseph Hilbe - Wikipedia

   en.wikipedia.org/wiki/Joseph_Hilbe

   Joseph Michael Hilbe (December 30, 1944 – March 12, 2017) was an American statistician and philosopher, founding President of the International Astrostatistics Association [2] (IAA) and one of the most prolific authors of books on statistical modeling in the early twenty-first century. [3]

3. Negative binomial distribution - Wikipedia

   en.wikipedia.org/wiki/Negative_binomial_distribution

   Different texts (and even different parts of this article) adopt slightly different definitions for the negative binomial distribution. They can be distinguished by whether the support starts at k = 0 or at k = r, whether p denotes the probability of a success or of a failure, and whether r represents success or failure, [1] so identifying the specific parametrization used is crucial in any ...

4. Negative binomial regression - Wikipedia

   en.wikipedia.org/?title=Negative_binomial...

   This page was last edited on 26 May 2018, at 03:42 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply ...

5. Poisson regression - Wikipedia

   en.wikipedia.org/wiki/Poisson_regression

   A Poisson regression model is sometimes known as a log-linear model, especially when used to model contingency tables. Negative binomial regression is a popular generalization of Poisson regression because it loosens the highly restrictive assumption that the variance is equal to the mean made by the Poisson model. The traditional negative ...

6. Binomial regression - Wikipedia

   en.wikipedia.org/wiki/Binomial_regression

   Binomial regression is closely connected with binary regression. If the response is a binary variable (two possible outcomes), then these alternatives can be coded as 0 or 1 by considering one of the outcomes as "success" and the other as "failure" and considering these as count data : "success" is 1 success out of 1 trial, while "failure" is 0 ...

7. Beta negative binomial distribution - Wikipedia

   en.wikipedia.org/wiki/Beta_negative_binomial...

   The beta negative binomial distribution contains the beta geometric distribution as a special case when either = or =. It can therefore approximate the geometric distribution arbitrarily well. It also approximates the negative binomial distribution arbitrary well for large α {\displaystyle \alpha } .

8. Negative multinomial distribution - Wikipedia

   en.wikipedia.org/wiki/Negative_multinomial...

   In probability theory and statistics, the negative multinomial distribution is a generalization of the negative binomial distribution (NB(x 0, p)) to more than two outcomes. [ 1 ] As with the univariate negative binomial distribution, if the parameter x 0 {\displaystyle x_{0}} is a positive integer, the negative multinomial distribution has an ...

9. Binomial distribution - Wikipedia

   en.wikipedia.org/wiki/Binomial_distribution

   In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own Boolean-valued outcome: success (with probability p) or failure (with probability q = 1 − p).