It is very common in practice that the sample is grouped ,i. e., the grouping of samples is a very common procedure, and the midpoint of each class is used as an approximate value to these observations falling in the corresponding interval. This article is concerned with a new maximum likelihood estimator for the unknown parameters of the generalized Weibull distribution, based on grouped progressive censored type I sample scheme. The new results may be considered as an approximation to that of Ashour, et., al. (2003) results. A numerical illustration using Mathcad (2001) package will be given.
Ashour, S., Said, D., & Darweesh, N. (2004). Maximum Likelihood Estimation for the Generalized Weibull Distribution Based on Grouped Progressive Censored Data. The Egyptian Statistical Journal, 48(1), 12-20. doi: 10.21608/esju.2004.313569
MLA
S. K. Ashour; D. R. Said; N. S. Darweesh. "Maximum Likelihood Estimation for the Generalized Weibull Distribution Based on Grouped Progressive Censored Data", The Egyptian Statistical Journal, 48, 1, 2004, 12-20. doi: 10.21608/esju.2004.313569
HARVARD
Ashour, S., Said, D., Darweesh, N. (2004). 'Maximum Likelihood Estimation for the Generalized Weibull Distribution Based on Grouped Progressive Censored Data', The Egyptian Statistical Journal, 48(1), pp. 12-20. doi: 10.21608/esju.2004.313569
VANCOUVER
Ashour, S., Said, D., Darweesh, N. Maximum Likelihood Estimation for the Generalized Weibull Distribution Based on Grouped Progressive Censored Data. The Egyptian Statistical Journal, 2004; 48(1): 12-20. doi: 10.21608/esju.2004.313569
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