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Thread: what is quasibinomial distribution?

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    what is quasibinomial distribution?




    I've done some search, but still can't understand what quasibionmial distribution is. Can anyone give me an intuitive explanation? What is a difference between quasibinomial distribution and normal binomial distribution?

    Thanks!

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    Re: what is quasibinomial distribution?

    The quasi-binomial distribution is a small perturbation of the binomial distribution. The mass
    probability function is defined by
    P(X = k) = C^k_np(p + k*phi)^(k-1)(1 -p - k*phi)^(n-k);
    where k 0 to n; n; p usual parameters and phi elememt of -p/n , (1-p)/n
    Of course, we retrieve the binomial
    distribution with phi set to 0.
    Last edited by Dason; 06-22-2013 at 11:20 AM.

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    Re: what is quasibinomial distribution?

    I also search that on web:

    http://dutangc.free.fr/pub/prob/probdistr-main.pdf

    At page 13 it has the pmf of the quasi-Binomial distribution. And you see that Binomial distribution is a special case of the quasi-Binomial - i.e. quasi-Binomial is a generalization of the usual one.

    http://en.wikipedia.org/wiki/General...#Binomial_data

    It has a certain application in Generalized linear model and describing over-dispersion.

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    Re: what is quasibinomial distribution?


    Quote Originally Posted by barrymorejennifer View Post
    The quasi-binomial distribution is a small perturbation of the binomial distribution. The mass
    probability function is defined by
    P(X = k) = C^k_np(p + k*phi)^(k-1)(1 -p - k*phi)^(n-k);
    where k 0 to n; n; p usual parameters and phi elememt of -p/n , (1-p)/n
    Of course, we retrieve the binomial
    distribution with phi set to 0.
    Does this essentially mean that the pmf of the quasi-binomial distribution includes a dispersion parameter (rather than the binomial pmf that assumes it is 1?). Would it be appropriate to use a quasi-binomial distribution to better describe data that are overdispersed?

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