A comparison of shape and scale estimators of the two-parameter weibull distribution

Journal of Modern Applied Statistical Methods

Volumn 13, Issue 1, 2014, Pages 23-35

  George, Florence ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Scale parameters; Shape parameters; Two parameter weibull distribution

Indexed keywords

EID: 84930352028     PISSN: 15389472     EISSN: None     Source Type: Journal    
DOI: 10.22237/jmasm/1398916920     Document Type: Article

References (13)

1. th Ed.). The new Weibull handbook: reliability & statistical analysis for predicting life, safety, risk, support costs, failures, and forecasting warranty claims, substantiation and accelerated testing, using Weibull, Log normal, crow-AMSAA, probit, and Kaplan-Meier models. North Palm Beach, FL: R. B. Abernethy.
2. Abernethy, R. B., Breneman, J. E., Medlin, C. H., & Reinman, G. L. (1983). Weibull Analysis Handbook. Air Force Wright Aeronautical Laboratories Technical Report AFWAL-TR-83-2079. Available at http://handle.dtic.mil/100.2/ADA143100.
3. Balakrishanan, N. & Kateri, M. (2008). On the maximum likelihood estimation of parameters of Weibull distribution based on complete and censored data. Statistics & Probability Letters, 78(17):2971-2975.
4. Battacharya, P., & Bhattacharjee, R. (2010). A study on Weibull distribution for estimating the parameters. Journal of Applied Quantitative Methods, 5(2):234-241.
5. Celik, A. N. (2003). Energy output estimation for small-scale wind power generators using Weibull-representative wind data. Journal of Wind Engineering and Industrial Aerodynamics, 91:693-707. doi:10.1016/S0167-6105(02)00471-3
6. Dorvlo, A. S. (2002). Estimating wind speed distribution. Energy Conservation and Management, 43:2311-2318.
7. Dubey, S. Y. D. (1967). Normal and Weibull distributions. Naval Research Logistics Quarterly, 14(1):69-79. doi:10.1002/nav.3800140107
8. Kantar, Y. M. & Senoglu, B. (2008). A Comparative Study for the Location and Scale Parameters of the Weibull Distribution with a given Shape Parameter. Computers & Geosciences, 34:1900-1909.
9. Saralees, N., & Firoozeh, H. (2011). An extension of the exponential distribution. Statistics-A Journal of Theoretical and Applied Statistics, 45(6):543-558.
10. Saralees, N., & Kotz, S. (2008). Strength modeling using Weibull distributions. Journal of Mechanical Science and Technology, 22:1247-1254.
11. Seki, T., & Yokoyama, S. (1993). Simple and robust estimation of the Weibull parameters. Microelectronics Reliability, 33(1):45-52.
12. Sharoon, H., Muhammad, Q. S., Muhammad, M., & Kibria, B. M. G. (2012). A Note on Beta Inverse-Weibull Distribution. Communication in Statistics-Theory and Methods, 42(2):320-335.
13. Weisser, D. (2003). A wind energy analysis of Grenada: an estimation using the 'Weibull' density function. Renewable Energy 28(11):1803-1812.