Inferring the success parameter p of a binomial model from small samples affected by background

Details Inferring the success parameter p of a binomial model from small samples affected by background Inferring the success parameter p of a binomial model from small samples affected by background

2004-12-13

arxiv.org/abs/physics/0412069v1

Physics

Data Analysis, Statistics and Probability

24 pages, 12 figures. This paper and related work are also available at http://www.roma1.infn.it/~dagos/prob+stat.html

Scientific paper

The problem of inferring the binomial parameter p from x successes obtained in n trials is reviewed and extended to take into account the presence of background, that can affect the data in two ways: a) fake successes are due to a background modeled as a Poisson process of known intensity; b) fake trials are due to a background modeled as a Poisson process of known intensity, each trial being characterized by a known success probability p_b.

Affiliated with

Also associated with

No associations

Rating

Inferring the success parameter p of a binomial model from small samples affected by background does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Inferring the success parameter p of a binomial model from small samples affected by background, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Inferring the success parameter p of a binomial model from small samples affected by background will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-115944