Estimation of Error-rates in Classification Rules

1992 ◽  
pp. 548-552
Author(s):  
R. J. Henery ◽  
R. King ◽  
A. Sutherland ◽  
J. M. O. Mitchell ◽  
P. Brazdil
Keyword(s):  
Error Rates ◽  
Classification Rules ◽  
Estimation Of Error

Estimation of Error Rates in Several-Population Discriminant Analysis

1982 ◽  
Vol 19 (1) ◽  
pp. 57-61 ◽  
Author(s):  
Stephen C. Hora ◽  
James B. Wilcox
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Discriminant Analysis ◽  
Classification Accuracy ◽  
Posterior Probability ◽  
Error Rates ◽  
Discriminant Functions ◽  
Linear Discriminant ◽  
Probability Estimator ◽  
Estimation Of Error

Researchers seeking to estimate the classification accuracy of linear discriminant functions in a more than two-population setting have had little guidance as to the most appropriate technique. The authors review the available techniques and present an additional alternative which combines features of the U-method and the recently developed posterior probability estimator. The new alternative is compared with other methods by Monté Carlo simulation.

Sequential multilocation auditing and the New York food stamps program

2018 ◽  
Author(s):  
Karl W. Heiner ◽  
Marc Kennedy ◽  
Anthony O'Hagan
Keyword(s):  
New York ◽  
Hierarchical Model ◽  
Bayesian Methods ◽  
Bayesian Model ◽  
Error Rates ◽  
Food Stamps ◽  
Estimation Of Error ◽  
One Year ◽  
Over Time

This article discusses the use of Bayesian methods in analysing data that evolve over time in sequential multilocation auditing. Using the New York food stamps program as a case study, it proposes a model that incorporates a nonparametric component for the error magnitudes (taints), a hierarchical model for overall error rates across counties and parameters controlling the variation of rates from one year to the next, including an overall trend in error rates. The article first provides an overview of the New York food stamps program, along with the auditing concepts and terminology, before introducing the Bayesian model. This model is used to examine a sample of individual awards of food stamps to see if the value awarded is correct according to the rules of the scheme. The model makes it possible to smooth estimation of error rates and error classes in small counties across counties and through time.

Estimation of Error Rates by Means of Simulated Bootstrap Distributions

1987 ◽  
Vol 29 (3) ◽  
pp. 287-292
Author(s):  
K.-D. Wernecke ◽  
G. Kalb
Keyword(s):  
Error Rates ◽  
Estimation Of Error
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