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| Author: | Gaba, A. |
| Title: | Inferences with an unknown noise level in a Bernoulli process |
| Journal: | Management Science
1993 : OCT, VOL. 39:10, p. 1227-1237 |
| Index terms: | NOISE BAYESIAN STATISTICS MANAGEMENT SCIENCE |
| Language: | eng |
| Abstract: | Inferences about a proportion p are often based on data generated from dichotomous processes, which are generally modeled as processes that are Bernoulli in p. In reality, the assumption that a data-generating process is Bernoulli in p is often violated due to the presence of noise. The level of noises is usually unknown and , furthermore, dependent on the unknown proportion in which one is interested. A specific model which takes into account the existence of noise is developed. |
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