The "exact" confidence limits for unknown probability in bernoulli models
Document Type
Conference Proceeding
Publication Date
1-1-2005
Abstract
The application of mathematical-statistical models in medical diagnostics often requires the construction of an "exact" confidence interval for the unknown probability p of success in Bernoulli models (so called binomial proportion, or proportion of population). This problem was considered in a number of papers (for example, see [1-5] and references cited there). The website BioMed Central gives more than 200 citations devoted to this theme. The purpose of our paper is to construct an "exact" confidence interval for unknown probability p of success in classical and generalized Bernoulli models.
Identifier
33745248637 (Scopus)
ISBN
[953713802X, 9789537138028]
Publication Title
Proceedings of the International Conference on Information Technology Interfaces Iti
External Full Text Location
https://doi.org/10.1109/ITI.2005.1491116
ISSN
13301012
First Page
164
Last Page
168
Recommended Citation
Andrushkiw, R. I.; Klyushin, D. A.; Petunin, Yu I.; and Savkina, M. Yu, "The "exact" confidence limits for unknown probability in bernoulli models" (2005). Faculty Publications. 19940.
https://digitalcommons.njit.edu/fac_pubs/19940
