ADAPTIVE ESTIMATION OF BINOMIAL PROBABILITIES UNDER MISCLASSIFICATION |
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Authors: | W Albers HJ Veldman† |
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Institution: | *Twente University of Technology (at the time of writing this paper);†Twente University of Technology |
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Abstract: | If misclassification occurs the standard binomial estimator is usually seriously biased. It is known that an improvement can be achieved by using more than one observer in classifying the sample elements. Here it will be investigated which number of observers is optimal given the total number of judgements that can be made. An adaptive estimator for the probability of interest is introduced which uses an estimator of this optimal number of observers, obtained without additional cost. Some simulation results are presented which suggest that the adaptive procedure performs quite well. |
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Keywords: | adaptive estimator binomial distribution misclassification |
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