Estimating the failure order-number from reliability data with suspended items

IEEE Transactions on Reliability

Volumn 46, Issue 2, 1997, Pages 266-268

  Hastings, Nicholas A J ^a   Bartlett, Harold J G ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Failure; Order number; Suspension

Indexed keywords

AGE SENSITIVE METHOD (ASM); FAILURE ORDER NUMBER;

ESTIMATION; FAILURE ANALYSIS; NUMERICAL METHODS; SENSITIVITY ANALYSIS;

RELIABILITY THEORY;

EID: 0031169996     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/24.589955     Document Type: Article

References (11)

1. W. Nelson, Applied Life Data Analysis, 1982; John Wiley & Sons.
2. R.B. D'Agostino, "Graphical analysis", [11: chapter 2, pp 7-62].
3. J.R. Michael, W.R. Schucany, "Analysis of data from censored samples", [11: chapter 11, pp 461-496].
4. L.G. Johnson, Theory and Technique of Variation Research, 1964; Elsevier.
5. L.G. Johnson, The Statistical Treatment of Fatigue Experiments, 1964; Elsevier.
6. th Nat'1 Symp. Reliability and Quality Control, 1960, pp 202-217.
7. K.C. Kapur, L.R. Lamberson, Reliability in Engineering Design, 1977; John Wiley & Sons.
8. rd ed), 1991 ; John Wiley & Sons.
9. D.I. Gibbons, L.C. Vance, "A simulation study of estimators for the 2-parameter Weibull distribution", IEEE Trans. Reliability, vol R-30, 1981 Apr, pp 61-66.
10. T. Seki, S. Yokoyama, "Simple and robust estimation of the Weibull parameters", Microelectronics & Reliability, vol 33, 1993, pp 45-52.
11. Goodness-of-Fit Techniques (R.B. D'Agostino, M.A. Stephens, Eds), 1986; Marcel Dekker (vol 68 in 'Statistics: Textbooks & Monographs' series).