dorsal/arxiv
View SchemaInferring the success parameter p of a binomial model from small samples affected by background
| Authors | G. D'Agostini |
|---|---|
| Categories | |
| ArXiv ID | physics/0412069 |
| URL | https://arxiv.org/abs/physics/0412069 |
Abstract
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.
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"abstract": "The problem of inferring the binomial parameter p from x successes obtained\nin n trials is reviewed and extended to take into account the presence of\nbackground, that can affect the data in two ways: a) fake successes are due to\na background modeled as a Poisson process of known intensity; b) fake trials\nare due to a background modeled as a Poisson process of known intensity, each\ntrial being characterized by a known success probability p_b.",
"arxiv_id": "physics/0412069",
"authors": [
"G. D\u0027Agostini"
],
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"physics.data-an",
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"title": "Inferring the success parameter p of a binomial model from small samples affected by background",
"url": "https://arxiv.org/abs/physics/0412069"
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