Statistical Fitting Criterion on the Basis of Cross-Validation Estimation Научная публикация
| Журнал |
Pattern Recognition and Image Analysis
ISSN: 1054-6618 , E-ISSN: 1555-6212 |
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| Вых. Данные | Год: 2018, Том: 28, Номер: 3, Страницы: 510-515 Страниц : 6 DOI: 10.1134/S1054661818030148 | ||
| Ключевые слова | cross-validation estimation; Fisher’s criterion; regression analysis; statistical hypothesis testing | ||
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| Организации |
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Реферат:
The statistical properties of cross-validation estimation as a criterion for choosing a decision model (a method for generating the decision function) are studied in the paper. For the variance analysis problem it is proved that the cross-validation criterion is equivalent to Fisher’s criterion for testing a homogeneity hypothesis under a certain significance level. It is revealed that the cross-validation criterion used for choosing the decision function among a certain one-parameter class and optimal decision function generation in the framework of a Bayesian model with normal parameter distribution are the same. © 2018, Pleiades Publishing, Ltd.
Библиографическая ссылка:
Nedel’ko V.M.
Statistical Fitting Criterion on the Basis of Cross-Validation Estimation
Pattern Recognition and Image Analysis. 2018. V.28. N3. P.510-515. DOI: 10.1134/S1054661818030148 Scopus OpenAlex
Statistical Fitting Criterion on the Basis of Cross-Validation Estimation
Pattern Recognition and Image Analysis. 2018. V.28. N3. P.510-515. DOI: 10.1134/S1054661818030148 Scopus OpenAlex
Идентификаторы БД:
| Scopus: | 2-s2.0-85053539726 |
| OpenAlex: | W2891293593 |