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Binomial Distribution Parameter Estimation

Hi everyone,

Assuming the following data follow binomial distribution, can anyone tell me how to estimate the parameter 'p'. For beta binomial distribution, what is the difference? This is an example from http://en.wikipedia.org/wiki/Beta-binomial_distribution.

Males 0 1 2 3 4 5 6 7 8 9 10 11 12
Observed Families 3 24 104 286 670 1033 1343 1112 829 478 181 45 7

Thanks!

read up on 'pbinom' and related functions in [R]. These are huge numbers. What is going with that?

This is a pure statistics question, not a bioinformatics research problem. Closing as off-topic. Also in future, do not keep posting additional information as answers.

I, for one, try to use statistics in my bioinformatics work, and it benefits me to see questions like this. It doesn't strike me as off-topic. If you want to close it because it's a total mess (the numbers don't make sense, the links don't work), that's another story. But otherwise it strikes me as rich fodder for informative bioinformatic discussion.

I use statistics too. However, the general rule here has always been that pure statistical questions are better asked at a StackExchange site; this forum is for questions with clear, stated relevance to a bioinformatics problem.

2 answers

Sorry, here is the data (It is a table from the above link.).

Males0123456789101112

Families324104286670103313431112829478181457

I can load the table here correctly.

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