hypergeometric distribution उदाहरण वाक्य
उदाहरण वाक्य
- Technically speaking this is sampling without replacement, so the correct distribution is the multivariate hypergeometric distribution, but the distributions converge as the population grows large ."
- The probability distribution when " n " is known ( but the number of each type is not known yet ) is Fisher s noncentral hypergeometric distribution.
- The balls that are " not " taken in the urn experiment have a distribution that is different from Wallenius'noncentral hypergeometric distribution, due to a lack of symmetry.
- See the entry for noncentral hypergeometric distributions for an explanation of the difference between these two distributions and a discussion of which distribution to use in various situations.
- In probability theory and statistics, "'Wallenius'noncentral hypergeometric distribution "'( named after Kenneth Ted Wallenius ) is a generalization of the hypergeometric distribution where items are sampled with bias.
- In probability theory and statistics, "'Wallenius'noncentral hypergeometric distribution "'( named after Kenneth Ted Wallenius ) is a generalization of the hypergeometric distribution where items are sampled with bias.
- An important application of the noncentral hypergeometric distribution in this context is the computation of exact confidence intervals for the odds ratio comparing treatment response between the two groups.
- The case where ordering doesn't matter and sampling is without replacement is comparable to a single multivariate hypergeometric distribution, and the fourth possibility does not seem to have a correspondence.
- Note also that there are some " noncentral distributions " that are not usually formulated in terms of a " noncentrality parameter " : see noncentral hypergeometric distributions, for example.
- The name " noncentral hypergeometric distribution " has been used for two different distributions, and several scientists have used the wrong distribution or erroneously believed that the two distributions were identical.