Most data sets come from publications about parameter estimation in Weibull models. See the references below, in section "Source".
rockette74fatigue
susquehanna
pollution
graphite
An object of class numeric of length 4.
An object of class numeric of length 10.
An object of class numeric of length 20.
An object of class numeric of length 20.
An object of class numeric of length 41.
The following small data sets are provided as numeric vectors.
rockette:Artificial sample of length 4 given by Rockette. The maximum likelihood function has two stationary points, none of them is the global maximum.
fatigue:Fatigue times of ten bearings of a specific type in hours.
susquehanna:Maximum flood levels (in millions of cubic feet per second) for the Susquehanna River of Harrisburg (Pennsylvania, USA) over 20 4-year periods.
pollution:Beach pollution levels in South Wales (measured in number of coliform per 100 ml) on 20 days over a 5-week period.
graphite:Breaking stress (in MPa x 10^6) of 41 beam specimens cut from a single graphite H590 block, from a reliability study reported by Margetson & Cooper (1984), cited by Cheng & Stephen (1989)
McCool, J.I., 1974. Inferential techniques for Weibull populations. Technical Report TR 74-0180, Wright Patterson Air Force Base, Ohio.
Rockette, H., 1974. Maximum Likelihood Estimation with the Weibull Model.
Dumonceaux, R. and Antle, C. E., 1973. Discrimination between the lognormal and the Weibull distributions. Technometrics, 15, 923-926.
Steen, P. J. and Stickler, D. J., 1976. A Sewage Pollution Study of Beaches from Cardiff to Ogmore. Report January 1976, Cardiff: Department of Applied Biology, UWIST.
Cheng, R.C.H. and Stephen, M.A., 1989. A Goodness of Fit Test Using Moran’s Statistic with Estimated Parameters. Biometrika, 76, 386-392.