Robust Nonparametric Methods

The nonparametric procedures for simple location problems offer the user highly efficient and robust methods and form an attractive alternative to traditional least squares (LS) procedures. Hettmanspeger et al examine examine nonparametric methods.

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Bibliographische Detailangaben
Veröffentlicht in:	Journal of the American Statistical Association 2000-12, Vol.95 (452), p.1308-1312
Hauptverfasser:	Hettmansperger, Thomas P., McKean, Joseph W., Sheather, Simon J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied statistics Datasets Economic models Estimators Linear models Linear regression Mathematical economics Modelling Nonparametric methods Outliers Point estimators Preliminary estimates Rank tests Statistical methods Statistics Vignettes for the Year 2000: Theory and Methods
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Beschreibung
Zusammenfassung:	The nonparametric procedures for simple location problems offer the user highly efficient and robust methods and form an attractive alternative to traditional least squares (LS) procedures. Hettmanspeger et al examine examine nonparametric methods.
ISSN:	0162-1459 1537-274X
DOI:	10.1080/01621459.2000.10474337