Summary
In this paper, we provide some pivotal quantities to test and establish confidence interval of the shape parameter on the basis of the firstn observed upper record values. Finally, we give some examples and the Monte Carlo simulation to assess the behaviors (including higher power and more shorter length of confidence interval) of these pivotal quantities for testing null hypotheses and establishing confidence interval concerning the shape parameter under the given significance level and the given confidence coefficient, respectively.
Similar content being viewed by others
References
Ahsanullah, M. (1995),Record Statistics, Nova Science Publishers, Inc.
Arnold, B. C., Balakrishnan, N. and Nagaraja, H. N. (1998),Records, John Wiley & Sons, Inc., New York.
Balakrishnan, N., and Chan, P. S. (1993), Record values from Rayleigh and Weibull distributions and associated inference, Presented at theInternational Conference on Extremes and Applications, Gaithersburg, MD.
Balakrishnan, N., and Chan, P. S. (1994), Record values from Rayleigh and Weibull distributions and associated inference,NIST Special Publication 866, Proceedings of the Conference on Extreme Value Theory and Applications, Vol.3 (Eds., J. Galambos, J. Lechner and E. Simiu), pp. 41–51.
Chan, P. S. (1993),A statistical study of log-gamma distribution, Ph. D. Dissertation, McMaster University, Canada.
Chan, P. S. (1998), Interval estimation of location and scale parameters based on record values,Statistics & Probability Letters,37, 49–58.
Chandler, K. N. (1952), The distribution and frequency of record values,J. Roy. Statist. Soc. B,14, 220–228.
Compaq Visual Fortran, Professional Edition V6.5 Intel Version (Inclusive of IMSL) (2000), Compaq Computer Corporation.
Dallas, A. C. (1982), Some results on record values from the exponential and Weibull law,Acta Mathematica of Academy of Sciences of Hungary,40, 307–311.
Johnson, N. L., Kotz, S. and Baladrishnan, N. (1994).Continuous univariate distribution, Vol. 1, John Wiley & Sons, Inc., New York.
Langlois, R. (1991), Estimation of Weibull parameters,Journal of Materials Science Letter,10, 1049–1051.
Nelson, W. (1982),Applied Life Data Analysis, John Wiley & Sons, Inc., New York.
Roberts, E. M. (1979), Review of statistics of extreme values with application to air quality data, Part II: applications,J. Air Pollut. Control Assoc.,29, 733–740.
Weibull, W. (1939a), A statistical theory of the strength of material, Report No. 151, Ingeni ö rs Vetenskaps Akademiens Handligar, Stockholm.
Weibull, W. (1939b), The phenomenon of rupture in solids, Report No. 153, Ingeni ö rs Vetenskaps Akademiens Handligar, Stockholm.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Wu, JW., Tseng, HC. Statistical inference about the shape parameter of the Weibull distribution by upper record values. Statistical Papers 48, 95–129 (2007). https://doi.org/10.1007/s00362-006-0318-7
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/s00362-006-0318-7