Estimation of the random error of binary tests using adaptive polynomials
| Autor: | Thomas S. Akkerhuis, Tashi P. Erdmann, Jeroen de Mast |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Estimation
Measurement systems analysis 021103 operations research Strategy and Management 0211 other engineering and technologies Binary number Model parameters 02 engineering and technology Gold standard (test) Management Science and Operations Research 01 natural sciences Industrial and Manufacturing Engineering 010104 statistics & probability Goodness of fit Random error 0101 mathematics Unavailability Safety Risk Reliability and Quality Algorithm Mathematics |
| Zdroj: | Journal of Quality Technology. 51:81-93 |
| ISSN: | 2575-6230 0022-4065 |
| DOI: | 10.1080/00224065.2018.1541390 |
| Popis: | We investigate how to estimate error probabilities for binary measurements and tests when a gold standard is not available. Recent studies have shown that, without a gold standard, the widely used false-acceptance probability (FAP) and false-rejection probability (FRP) are difficult to estimate. We show by mathematical analysis that this problem is inherent to the unavailability of a gold standard. Instead, the proposed method determines the random components of the error probabilities: the inconsistent acceptance and rejection probabilities IAP and IRP. The method is efficient and robust as the number of model parameters is not predetermined but depends on the goodness of fit. |
| Databáze: | OpenAIRE |
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