Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression

We introduce a new nonparametric outlier detection method for linear series, which requires no missing or removed data imputation. For an arithmetic progression (a series without outliers) with n elements, the ratio ( R ) of the sum of the minimum and the maximum elements and the sum of all elements...

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Veröffentlicht in:	TheScientificWorld Jg. 2014; H. 2014; S. 1 - 12
Hauptverfasser:	Becker, T., Effenberger, M., Hussein, M. A., Adikaram, K. K. L. B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2014 John Wiley & Sons, Inc Wiley
Schlagworte:	Algorithms Biogas Colleges & universities Data Interpretation, Statistical Electronic data processing Genetic algorithms Linear Models Linear models (Statistics) Linear regression models Mathematical Concepts Methods Numerical Analysis, Computer-Assisted Regression analysis
ISSN:	2356-6140, 1537-744X, 1537-744X
Online-Zugang:	Volltext
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