Comparisons of outlier detection procedures in weibull or extreme-value distribution

References

• Barnett , V. and Lewis , T. 1978 . “ Outliers in statistical data ” . New York : John Wiley .
   Google Scholar
• Beckman , R.J. and Cook , R.D. 1983 . Outlier…s . Technometrics , 25 : 119 – 163 .
   Web of Science ®Google Scholar
• Dixon , W.J. 1950 . Analysis of extreme values . Annals of Mathematical Statistics , 21 : 488 – 506 .
   Google Scholar
• Grubbs , F.E. 1950 . Sample criteria for testing outlying observations . Ann. Math. Statist , 21 : 27 – 58 .
   Google Scholar
• International mathematical and statistical libraries (1982). "IMSL Manual", Vols. I and II.
   Google Scholar
• Mann , N.R. 1982 . Optimal outlier tests for a Weibull model to identify process changes or predict failure times . Studies in the Management Sciences , 19 : 261 – 270 .
   Google Scholar
• Mann , N.R. , Scheuer , E.M. and Fertig , K.W. 1973 . A new goodness-of-fit test for the two-parameter Weibull or extreme-value distribution with unknown parameters . Communications in Statistics , 2 : 383 – 400 .
   Google Scholar
• Mann , N.R. , Schafer , R.E. and Singpurwalla , N.D. 1974 . “ Methods for statistical analysis of reliability and life data ” . New York : John Wiley .
   Google Scholar
• Tiku , M.L. 1975 . A new statistic for testing for suspected outlier . Communications in Statistics , 4 : 737 – 752 .
   Google Scholar
• Tiku , M.L. 1977 . Rejoinder: Comment on a new statistic for testing suspected outliers . Communications in Statistics , 6 : 1417 – 1422 .
   Google Scholar
• Van Montfort , M.A.J. 1970 . On testing that the distribution of extreme is of type I when type II is the alternative . Journal of Hydrology , II : 421 – 427 .
   Google Scholar
• Weibull , W. 1951 . A statistical distribution of wide applicability . Journal of Applied Mechanics , 18 : 293 – 297 .
   Web of Science ®Google Scholar
• White , John S. 1967 . “ The moments of log-Weibull order statistics General Motors Research Publication GMR-717 ” . In General Motors Research Laboratories , Michigan : Warren .
   Google Scholar