Hinge estimators of location: Robust to asymmetry

Computer Methods and Programs in Biomedicine

Volumn 49, Issue 1, 1996, Pages 11-17

  Reed III, J F ^a   Stark, D B ^b  

^a LEHIGH VALLEY HOSPITAL   (United States)

^b The University of Akron   (United States)

Author keywords

Adaptive estimators; Ancillary statistics; Robust estimators; Selector statistics

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATIONAL METHODS; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); STATISTICS;

ADAPTIVE ESTIMATORS; ANCILLARY STATISTICS; MESSY DATA; ROBUST ESTIMATORS; SELECTOR STATISTICS; SYMMETRIC DISTRIBUTIONS;

COMPUTER SIMULATION;

ARTICLE; COMPUTER SIMULATION; STATISTICS;

EID: 0030045256     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/0169-2607(95)01708-9     Document Type: Article

References (6)

1. D.F. Andrews, P.H. Bickel, F.R. Hampel, P.H. Huber, W.H. Rogers and J.W. Tukey, Robust estimates of location: survey and advances. Princeton University Press, (1972).
2. R.V. Hogg, Some observations on robust estimation. J. Am. Stat. Assoc. 62 (1967) 1179-1182.
3. R.V. Hogg, On adaptive statistical inferences. Comm. Stat.-Theory Method 11 (1982) 2531-2542.
4. D.M. Hertsgaard, Distribution of asymmetric trimmed means. Comm. Stat.-Simul. Comput. 8 (1979) 359-367.
5. J.F. Reed and D.B. Stark, Evaluation of Monte' Carlo generation of continuous asymmetric Distributions. Comput. Methods Programs Biomed. 31 (1990) 201-205.
6. D.B. Stark and J.F. Reed, Evaluation of Monte' Carlo generation of long-tailed symmetric and contaminated symmetric distributions. Comput. Methods Programs Biomed. 31 (1990) 195-200.