قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تقدير وينسور (Winsorized Estimation)× | تشخيصات التأثير (مسافة كوك، DFFITS، الرافعة المالية)× | |
|---|---|---|
| المجال | الإحصاء | الإحصاء |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1960 | 1977 |
| صاحب الطريقة≠ | Dixon (1960); robust estimation tradition (Wilcox) | R. Dennis Cook (Cook's distance); Belsley, Kuh & Welsch (DFFITS, leverage) |
| النوع≠ | Robust location/scale estimator | Regression diagnostic |
| المصدر التأسيسي≠ | Dixon, W. J. (1960). Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics, 31(2), 385-391. DOI ↗ | Cook, R. D. (1977). Detection of Influential Observations in Linear Regression. Technometrics, 19(1), 15-18. DOI ↗ |
| الأسماء البديلة≠ | winsorization, winsorized mean, Winsorize Edilmiş Tahmin | Cook's distance, DFFITS, leverage, influential observation detection |
| ذات صلة | 5 | 5 |
| الملخص≠ | Winsorized estimation is a robust technique that reduces the influence of outliers by clamping the extreme percentiles of a distribution to a chosen threshold. Introduced by Dixon (1960) and developed in the robust-estimation tradition of Wilcox, it keeps every observation in the sample rather than discarding any. | Influence diagnostics are a family of post-fit measures that quantify how much each single observation affects a fitted regression. Cook's distance was introduced by R. Dennis Cook in 1977, with leverage and DFFITS formalised by Belsley, Kuh and Welsch in 1980, to flag the observations that most strongly pull the estimated coefficients. |
| ScholarGateمجموعة البيانات ↗ |
|
|