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Alternative approach to moments of order statistics from one-parameter Weibull distribution
- Source :
- Statistics in Transition, Vol 21, Iss 1 (2020)
- Publication Year :
- 2020
- Publisher :
- Exeley Inc., 2020.
-
Abstract
- The Weibull distribution is used to describe various observed failures of phenomena and widely used in survival analysis and reliability theory. Sometimes it is very difficult to compute moments of such distributions due to various reasons for e.g. analytical issues, multi parameter cases etc. This study presents the computation of the moments and the expected value of the product of order statistics in the sample from the one-parameter Weibull distribution. An alternative approach in connection to survival function is used to obtain these moments and expected values. In addition the characteristic function of the above distribution is also obtained in the form of gamma functions. Further an illustration is shown to find the first two moments and expected value of the product of order statistics by using this approach.
- Subjects :
- Statistics and Probability
ddc:519
Characteristic function (probability theory)
Order statistic
survival function
characteristic function
Survival function
order statistics
Applied mathematics
moments
Statistics, Probability and Uncertainty
lcsh:Statistics
lcsh:HA1-4737
Mathematics
Weibull distribution
Subjects
Details
- Language :
- English
- ISSN :
- 24500291 and 12347655
- Volume :
- 21
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Statistics in Transition
- Accession number :
- edsair.doi.dedup.....769c93df945784119d4961588c62ac01