This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 243
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #306922
Title: Estimating a Misclassification Probability in a Binomial Setting
Author(s): Patrick Lennon Kendall Zimmerman*+ and Greg C. Liknes
Companies: University of Minnesota, Twin Cities and U.S. Forest Service
Address: 995 Montana Ave West, Saint Paul, MN, 55117,
Keywords: misclassification ; remote sensing ; classification

When an interpreter observes and classifies items of two classes, but has a positive probability of misclassifying items, this misclassification can bias proportion estimates. For the case when the true class of items is unknown, we present a maximum-likelihood estimator of misclassification probability based on agreement between two interpreters. The estimator requires the misclassification probabilities of both interpreters to be equal, but simulation suggests that, for unequal probabilities, the estimator behaves as if it were estimating their average. Also, the estimator requires the correlation of the correctness of the interpreters' classifications to be known, which is unrealistic. We discuss a strategy for estimating an interval within which a misclassification probability lies, and argue that the estimator can produce a useful lower bound in practice.

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