References
- Barros, V. R., and E. A. Estevan. 1983. On the evaluation of wind power from short wind records. Journal of Climate and Applied Meteorology 22: 1116–23.
- Carlin, J., and J. Haslett. 1982. The probability distribution of wind power from a dispersed array of wind turbine generators. Journal of Applied Meteorology 21: 303–13.
- Ghosh, J. K., and B. K. Sinha. 1981. A necessary and sufficient condition for second-order admissibility with applications to Berkson’s bioassay problem. Annals of statistics 9: 1334–38.
- He, X., and W. K. Fung. 1999. Method of medians for lifetime data with Weibull models. Statistics in Medicine 18: 1993–2009.
- Johnson, R. A., and J. H. Haskell. 1983. Sampling properties of estimators of a Weibull distribution of use in lumber industry. Canadian Journal of Statistics 11 (2): 155–69.
- Kao, J. H. K. 1958. Computer methods for estimating Weibull parameters in reliability studies. Transactions of IRE—Reliability and Quality Control 13: 15–22.
- Kao, J. H. K. 1959. A graphical estimation of mixed weibull parameters in life-testing electron tubes. Technometrics 1: 389–407.
- Karlin, S. 1958. Admissibility for estimation with quadratic loss. Annals of mathematical Statistics 29: 406–36.
- Kececioglu, D. 1993. Reliability & life testing handbook, Vol. 1. Englewood Cliffs, NJ: Prentice Hall
- Marks, N. 2005. Estimation of Weibull parameters from common percentiles. Journal of Applied Statistics 32: 17–24.
- Nagatsuka, H., and N. Balakrishnan. 2015. An efficient method of parameter and quantile estimation for the three-parameter Weibull distribution based on statistics invariant to unknown location parameter. Communications in Statistics — Simulation and Computation 44 (2): 295–318.
- Seki, T., and S. Yokoyama. 1996. Robust parameter-estimation using the bootstrap method for the 2-parameter Weibull distribution. IEEE Transactions on Reliability 45: 34–41.
- Shier, D., and K. Lawrence. 1984. A comparison of robust regression techniques for the estimation of Weibull parameters. Communications in Statistics — Simulation and Computation 13: 743–50.
- Stein. C. 1956. Inadmissibility of the usual estimator for the mean of a multivariate normal distribution. Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, 1954–1955, vol. I, 197–206. Berkeley, CA: University of California Press.
- Stein. C. 1981. Estimation of the mean of a multivariate normal distribution. Annals of Statistics 9 (6): 1135–51.
- Takagi, Y. 2012. On the estimation of the shape parameter of the gamma distribution in second-order asymptotics Statistics of Probability Letters 82: 15–21.
- Takeuchi, K., and M. Akahira. 1979. Asymptotic optimality of the generalized Bayes estimator in multiparameter cases. Annals of the Institute of Statistical Mathematics 31: 403–15.
- Thomam, D. R., L. J. Bain, and C. E. Antle. 1969. Inferences on the parameter of the Weibull distribution, Technometrics, 11, 445–460.
- Tuller, S. E., and A. C. Brett. 1984. The characteristics of wind velocity that favor the fitting of a Weibull distribution in wind speed analysis. Journal of Climate and Applied Meteorology 23: 124–34.
- Wilks, D. S. 1989. Rainfall intensity, the Weibull distribution, and estimation of daily surface runoff. Journal of Applied Meteorology 28: 52–58.