Opened 14 years ago
Closed 13 years ago
#351 closed request (wontfix)
Estimating parameter p (and confidence interval) in binomial distribution
Reported by: | Peter | Owned by: | Peter |
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Priority: | minor | Milestone: | |
Component: | statistics | Version: | trunk |
Keywords: | Cc: |
Description
related to ticket:258
When performing a permutation test you are sampling from a binary (Bernoulli) distribution and number of successes, k, will follow a binomial distribution. Typically the parameter p is obviously estimated as k/n, but I would like some functionality how to calculate confidence interval.
Should check into GSL to see if there is useful support.
I am not sure how the calculation should be performed but I suppose a Baysian approach might be sound, having a uniform distribution on p.
Change History (2)
comment:1 Changed 14 years ago by
comment:2 Changed 13 years ago by
Milestone: | yat 0.x+ |
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Resolution: | → wontfix |
Status: | new → closed |
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This page might bu useful
http://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval