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Justert boksplott for skjeve fordelinger×Robust tidsserieanalyse×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår20082019
OpphavspersonHubert & VandervierenMaronna, Martin, Yohai & Salibián-Barrera (textbook treatment); robust estimation tradition
TypeRobust outlier detection / descriptive visualizationRobust time series model (AR / MA / ARIMA)
Opprinnelig kildeHubert, M. & Vandervieren, E. (2008). An Adjusted Boxplot for Skewed Distributions. Computational Statistics & Data Analysis, 52(12), 5186-5201. DOI ↗Maronna, R. A., Martin, R. D., Yohai, V. J., & Salibián-Barrera, M. (2019). Robust Statistics: Theory and Methods (with R) (2nd ed.). Wiley. ISBN: 978-1119214687
Aliasadjusted box plot, medcouple boxplot, skewness-adjusted boxplot, Düzeltilmiş Kutu Grafiği (Adjusted Boxplot)robust ARIMA, robust autoregressive model, outlier-resistant time series, Robust Zaman Serisi Analizi
Relaterte55
SammendragThe Adjusted Boxplot is a robust descriptive tool introduced by Hubert and Vandervieren (2008) that corrects the classical IQR-based boxplot for skewness using the medcouple statistic, reducing the false labelling of outliers in asymmetric data.Robust Time Series Analysis fits autoregressive, moving-average, and ARIMA models to series that contain outliers or structural breaks, using M-estimation or MM-estimation instead of ordinary least squares so that a few anomalous observations do not distort the fit. It follows the robust statistics tradition consolidated in Maronna, Martin, Yohai and Salibián-Barrera (2019).
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ScholarGateSammenlign metoder: Adjusted Boxplot · Robust Time Series Analysis. Hentet 2026-06-15 fra https://scholargate.app/no/compare