Title of article :
Efficient Estimation of the Density and Cumulative Distribution Function of the Generalized Rayleigh Distribution
Author/Authors :
خالقي مقدم، محسن نويسنده دانشکده‌ي علوم پايه‌ي دانشگاه کشاورزي و منابع طبيعي ساري Khaleghy Moghaddam, Mohsen , عليزاده، مجتبي نويسنده دانشکده‌ي رياضي دانشگاه شهيد باهنر کرمان Alizadeh, Mojtaba , باقري جمال‌الدين كلايي، سيد فاضل نويسنده دانشکده رياضي دانشگاه شهيد بهشتي تهران Bagheri, Seyyed Fazel
Issue Information :
دوفصلنامه با شماره پیاپی 0 سال 2013
Pages :
22
From page :
1
To page :
22
Abstract :
The uniformly minimum variance unbiased (UMVU), maximum likelihood, percentile (PC), least squares (LS) and weighted least squares (WLS) estimators of the probability density function (pdf) and cumulative distribution function are derived for the generalized Rayleigh distribution. This model can be used quite effectively in modelling strength data and also modeling general lifetime data. It has been shown that MLE is better than UMVUE and UMVUE is better than the others. An application to waiting times (min) of 100 bank customers.
Journal title :
Journal of Statistical Research of Iran
Serial Year :
2013
Journal title :
Journal of Statistical Research of Iran
Record number :
2031165
Link To Document :
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