Explain negative hyper geometric distribution, Advanced Statistics

Negative hyper geometric distribution: In sampling without replacement from the population comprising of r elements of one kind and N - r of another, if two elements corresponding to which selected are replaced every time, then the probability of finding x elements of first kind in a random sample of n elements can be given as follows

606_negative hypergeometric distribution.png 

The mean of distribution can be given as Nr/N and the variance can be given as follows (nr/N)(1-r/N)(N+n)/(N+1).

It corresponds to the beta binomial distribution with the integral parameter values.  

Posted Date: 7/30/2012 6:12:25 AM | Location : United States







Related Discussions:- Explain negative hyper geometric distribution, Assignment Help, Ask Question on Explain negative hyper geometric distribution, Get Answer, Expert's Help, Explain negative hyper geometric distribution Discussions

Write discussion on Explain negative hyper geometric distribution
Your posts are moderated
Related Questions
elements , importance, limitation, and theories

Human height growth curves : The growth of human height is, in common, remarkably regular, apart from the pubertal growth spurt. The satisfactory longitudinal development curve is

ACC – A pioneer in the Indian cement industry Associated Cement Companies Ltd. (ACC) came into existence in 1936, after the merger of 10 companies belonging to four important bus

The approach to statistics based on a frequency view of probability in which it is supposed that it is possible to consider an in?nite sequence of the independent repetitions of th

You and your team have been hired as strategic consultants by the hugely successful retailer known as “Cutie Pie”. The company sells many products, although one product in particul


Collective risk models : The models applied to insurance portfolios which do not create direct reference to the risk characteristics of individual members of the portfolio when des

Bayesian inference : An approach to the inference based largely on Bayes' Theorem and comprising of the below stated principal steps: (1) Obtain the likelihood, f x q describing

moving and semi average method graphical reprsentation

Computer-aided diagnosis : The computer programs which are designed to support clinical decision making. In common, such systems are based on the repeated application of the Bay