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Details for article 2 of 10 found articles
| Title: |
Assessing risk for rare events |
| Author: |
Dewoody, Yssa Gururaj, V. T. Martin, Clyde |
| Appeared in: |
Journal of applied statistics |
| Paging: | Volume 26 (1999) nr. 6 pages 681-687 |
| Year: |
1999-08-01 |
| Contents: |
This paper develops a method for assessing the risk for rare events based on the following scenario. There exists a large population with an unknown percentage p of defects. A sample of size N is drawn from the population and, in the sample, 0 defects are drawn. Given these data, we want to determine the probability that no more than n defects will be found in another random sample of N drawn from the population. Estimates on the range of p and n are calculated from a derived joint distribution which depends on p, n and N. Asymptotic risk results based on an infinite sample are then developed. It is shown that these results are applicable even with relatively small sample spaces. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 10 found articles
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