Dorfman-Type Group Testing for a Modified Binomial Model

Autor:	Peter Enis, Charles G. Pfeifer
Rok vydání:	1978
Předmět:	Statistics and Probability Binomial distribution Statistics Negative binomial distribution Binomial test Multinomial distribution Continuity correction Statistics Probability and Uncertainty Binomial proportion confidence interval Negative multinomial distribution Count data Mathematics
Zdroj:	Journal of the American Statistical Association. 73:588-592
ISSN:	1537-274X 0162-1459
DOI:	10.1080/01621459.1978.10480059
Popis:	In this article we introduce a new group-testing model which we refer to as the modified binomial model. This new model, when applicable, not only requires a smaller per unit expected number of tests to identify all units (in a population of dichotomous units) than does the frequently considered binomial model, but also is always preferable to individual testing. We consider optimal Dorfman-type procedures under the modified model and present methods for determining the best choices of group sizes for both finite and infinite population cases. We also offer some new results for the binomial model.
Databáze:	OpenAIRE
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