EDP Sciences Journals List
Free access article

Issue ESAIM: PS
Volume 9, 2005
Page(s) 206 - 219
DOI 10.1051/ps:2005010

References of  June 2005, Vol. 9, p. 206-219
  1. L.J. Bain and C.E. Antle, Estimation of parameters in Weibull the distribution. Technometrics 9 (1967) 621-627 [MathSciNet].
  2. L.J. Bain and M. Engelhardt, Statistical analysis of reliability and life-testing models. Marcel Dekker (1991).
  3. D.B. Brock, T. Wineland, D.H. Freeman, J.H. Lemke and P.A. Scherr, Demographic characteristics, in Established Population for Epidemiologic Studies of the Elderly, Resource Data Book, J. Cornoni- Huntley, D.B. Brock, A.M. Ostfeld, J.O. Taylor and R.B. Wallace Eds. National Institute on Aging, NIH Publication No. 86- 2443. US Government Printing Office, Washington, DC (1986).
  4. T.E. Clemons and Bradley Jr., A nonparametric measure of the overlapping coefficient. Comp. Statist. Data Analysis 34 (2000) 51-61.
  5. A.C. Cohen, Multi-censored sampling in three-parameter Weibull distribution. Technometrics 17 (1974) 347-352.
  6. P.M. Dixon, The Bootstrap and the Jackknife: describing the precision of ecological Indices, in Design and Analysis of Ecological Experiments, S.M. Scheiner and J. Gurevitch Eds. Chapman & Hall, New York (1993) 209-318.
  7. K.N. Do and P. Hall, On importance resampling for the bootstrap. Biometrika 78 (1991) 161-167 [MathSciNet].
  8. B. Efron, Bootstrap methods: another look at the jackknife. Ann. Statist. 7 (1979) 1-26 [MathSciNet].
  9. W.T. Federer, L.R. Powers and M.G. Payne, Studies on statistical procedures applied to chemical genetic data from sugar beets. Technical Bulletin, Agricultural Experimentation Station, Colorado State University 77 (1963).
  10. P. Hall, On the removal of Skewness by transformation. J. R. Statist. Soc. B 54 (1992) 221-228.
  11. H.L. Harter and A.H. Moore, Asymptotic variances and covariances of maximum-likelihood estimators, from censored samples, of the parameters of the Weibull and gamma populations. Ann. Math. Statist. 38 (1967) 557-570.
  12. H.I. Ibrahim, Evaluating the power of the Mann-Whitney test using the bootstrap method. Commun. Statist. Theory Meth. 20 (1991) 2919-2931.
  13. M. Ichikawa, A meaning of the overlapped area under probability density curves of stress and strength. Reliab. Eng. System Safety 41 (1993) 203-204.
  14. H.F. Inman and E.L. Bradley, The Overlapping coefficient as a measure of agreement between probability distributions and point estimation of the overlap of two normal densities. Comm. Statist. Theory Methods 18 (1989) 3851-3874 [MathSciNet].
  15. F.C. Leone, Y.H. Rutenberg and C.W. Topp, Order statistics and estimators for the Weibull population. Tech. Reps. AFOSR TN 60-489 and AD 237042, Air Force Office of Scientific Research, Washington, DC (1960).
  16. J. Lieblein and M. Zelen, Statistical investigations of the fatigue life of deep groove ball bearings. Research Paper 2719. J. Res. Natl. Bur Stand. 57 (1956) 273-316.
  17. R. Lu, E.P. Smith and I.J. Good, Multivariate measures of similarity and niche overlap. Theoret. Population Ecol. 35 (1989) 1-21.
  18. N. Mann, Point and Interval Estimates for Reliability Parameters when Failure Times have the Two-Parameter Weibull Distribution. Ph.D. dissertation, University of California at Los Angeles, Los Angeles, CA (1965).
  19. N. Mann, Results on location and scale parameters estimation with application to Extreme-Value distribution. Tech. Rep. ARL 670023, Office of Aerospace Research, USAF, Wright-Patterson AFB, OH (1967a).
  20. N. Mann, Tables for obtaining the best linear invariant estimates of parameters of the Weibull distribution. Technometrics 9 (1967b) 629-645 [MathSciNet].
  21. N. Mann, Best linear invariant estimation for Weibull distribution. Technometrics 13 (1971) 521-533 [MathSciNet].
  22. K. Matusita, Decision rules based on the distance for problem of fir, two samples, and Estimation. Ann. Math. Statist. 26 (1955) 631-640 [MathSciNet].
  23. J.I. McCool, Inference on Weibull Percentiles and shape parameter from maximum likelihood estimates. IEEE Trans. Rel. R-19 (1970) 2-9.
  24. S.N. Mishra, A.K. Shah and J.J. Lefante, Overlapping coefficient: the generalized t approach. Commun. Statist. Theory Methods (1986) 15 123-128.
  25. M. Morisita, Measuring interspecific association and similarity between communities. Memoirs of the faculty of Kyushu University. Series E. Biology 3 (1959) 36-80.
  26. M.S. Mulekar and S.N. Mishra, Overlap Coefficient of two normal densities: equal means case. J. Japan Statist. Soc. 24 (1994) 169-180 [MathSciNet].
  27. M.S. Mulekar and S.N. Mishra, Confidence interval estimation of overlap: equal means case. Comp. Statist. Data Analysis 34 (2000) 121-137.
  28. D.N.P. Murthy, M. Xie and R. Jiang, Weibull Models. John Wiley & Sons (2004).
  29. M. Pike, A suggested method of analysis of a certain class of experiments in carcinogenesis. Biometrics 29 (1966) 142-161.
  30. B. Reser and D. Faraggi, Confidence intervals for the overlapping coefficient: the normal equal variance case. The statistician 48 (1999) 413-418.
  31. P. Rosen and B. Rammler, The laws governing the fineness of powdered coal. J. Inst. Fuels 6 (1933) 29-36.
  32. H.M. Samawi, G.G. Woodworth and M.F. Al-Saleh, Two-Sample importance resampling for the bootstrap. Metron (1996) Vol. LIV No. 3-4.
  33. H.M. Samawi, Power estimation for two-sample tests using importance and antithetic r resampling. Biometrical J. 40 (1998) 341-354.
  34. E.P. Smith, Niche breadth, resource availability, and inference. Ecology 63 (1982) 1675-1681.
  35. P.H.A. Sneath, A method for testing the distinctness of clusters: a test of the disjunction of two clusters in Euclidean space as measured by their overlap. Math. Geol. 9 (1977) 123-143.
  36. D.R. Thoman, L.J. Bain and C.E. Antle, Inference on the parameters of the Weibull distribution. Technometrics 11 (1969) 445-460 [MathSciNet].
  37. W. Weibull, A statistical theory of the strength of materials. Ing. Vetenskaps Akad. Handl. 151 (1939) 1-45.
  38. W. Weibull, A statistical distribution function of wide application. J. Appl. Mech. 18 (1951) 293-297.
  39. M.S. Weitzman, Measures of overlap of income distributions of white and Negro families in the United States. Technical paper No. 22. Department of Commerce, Bureau of Census, Washington, US (1970).
  40. J.S. White, The moments of log-Weibull Order Statistics. General Motors Research Publication GMR-717. General Motors Corporation, Warren, Michigan (1967).



What is OpenURL?

The OpenURL standard is a protocol for transmission of metadata describing the resource that you wish to access. An OpenURL link contains article metadata and directs it to the OpenURL server of your choice. The OpenURL server can provide access to the resource and also offer complementary services (specific search engine, export of references...). The OpenURL link can be generated by different means.
  • If your librarian has set up your subscription with an OpenURL resolver, OpenURL links appear automatically on the abstract pages.
  • You can define your own OpenURL resolver with your EDPS Account. In this case your choice will be given priority over that of your library.
  • You can use an add-on for your browser (Firefox or I.E.) to display OpenURL links on a page (see http://www.openly.com/openurlref/). You should disable this module if you wish to use the OpenURL server that you or your library have defined.