hypergeometric distribution वाक्य
उदाहरण वाक्य
मोबाइल
- This gives a slightly different distribution known as Wallenius'noncentral hypergeometric distribution.
- Use the hypergeometric distribution for the first " l-1 " picks.
- Unfortunately, both distributions are known in the literature as " the " noncentral hypergeometric distribution.
- Use the hypergeometric distribution to calculate the probabilities.
- The matter is complicated by the fact that there is more than one noncentral hypergeometric distribution.
- Fisher's noncentral hypergeometric distribution is obtained if the balls are sampled simultaneously or independently of each other.
- Assuming you sampled without replacement, you'd need to use the hypergeometric distribution to do an exact test.
- The distribution of the balls not taken can be called the "'complementary Wallenius'noncentral hypergeometric distribution " '.
- I've found nothing relevant in the see also sections of Hypergeometric distribution, Coupon collector's problem, & Birthday problem.
- In that case you obtain a hypergeometric distribution .-- Talk 19 : 29, 10 October 2006 ( UTC)
- Important and commonly encountered univariate probability distributions include the binomial distribution, the hypergeometric distribution, and the normal distribution.
- :This is a hypergeometric distribution.
- Other examples of distributions that are not exponential families are the F-distribution, Cauchy distribution, hypergeometric distribution and logistic distribution.
- :: I think this might be helpful to you Hypergeometric distribution---- ferret 22 : 36, 31 January 2013 ( UTC)
- In other words, the negative hypergeometric distribution describes the likelihood of k successes in a sample with exactly R failures.
- The negative hypergeometric distribution, NHG _ { N, K, R } ( k ) is the discrete distribution of this k.
- Fisher's noncentral hypergeometric distribution is used mostly for tests in contingency tables where a conditional distribution for fixed margins is desired.
- The description of urn models is complicated by the fact that there is " more than one noncentral hypergeometric distribution ".
- While the exponential distribution is the continuous analogue of the geometric distribution, the hyperexponential distribution is not analogous to the hypergeometric distribution.
- :: In case the OP is interested in reading more about such probability settings and analysis, Wikipedia has an article on hypergeometric distribution.
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