Identifying multiple discordant observations: A computer intensive approach

Computational Statistics and Data Analysis

Volumn 29, Issue 3, 1999, Pages 261-273

  Venter, J H ^a   Viljoen, H ^a  

^a NORTH WEST UNIVERSITY   (South Africa)

Author keywords

Computer intensive methods; Multiple outliers; Successive testing* P values tests

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; COMPUTER SIMULATION;

COMPUTER INTENSIVE METHODS; MULTIPLE OUTLIERS; P-VALUE TESTS;

STATISTICAL TESTS;

EID: 0032785588     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(98)00064-4     Document Type: Article

References (5)

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3. Hampel, F.R., Rousseeuw, P.J., Ronchetti, E.M., Stahel, W.A., 1986. Robust Statistics: the Approach Based on Influence Functions. Wiley, New York.
4. Hawkins, D.M., 1980. Identification of Outliers. Chapman and Hall, London.
5. Rosner B. Percentage points for a generalized ESD many-outlier procedure. Technometrics. 25:1983;165-172.