On the Estimation of Parameters of Kumaraswamy-GDistributions
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Publication:2828785
DOI10.1080/03610918.2014.957840zbMath1348.62035OpenAlexW2002967960MaRDI QIDQ2828785
Mostafa Tamandi, Saralees Nadarajah
Publication date: 26 October 2016
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2014.957840
Related Items (5)
Development of preliminary test estimators and preliminary test confidence intervals for measures of reliability of Kumaraswamy-G distributions based on progressive type-II censoring ⋮ Parameter estimation of some Kumaraswamy-G type distributions ⋮ Estimation and testing procedures for the reliability functions of Kumaraswamy-G distributions and a characterization based on records ⋮ Estimation and testing procedures for the reliability characteristics of Kumaraswamy-G distributions based on the progressively first failure censored samples ⋮ Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples
Cites Work
- Kumaraswamy's distribution: a beta-type distribution with some tractability advantages
- The Kumaraswamy Weibull distribution with application to failure data
- The Kumaraswamy generalized gamma distribution with application in survival analysis
- Maximum product of spacings estimators for the generalized Pareto and log-logistic distributions
- The maximum spacing estimation for multivariate observations
- Alternatives to maximum likelihood estimation based on spacings and the Kullback-Leibler divergence
- Consistency of Generalized Maximum Spacing Estimates
- A new family of generalized distributions
- A goodness-of-fit test using Moran's statistic with estimated parameters
- On maximum product of spagings (mps) estimation for burr xii distributions
- Weibull Models
- Estimation in two-parameter exponential distributions
- AN ALTERNATIVE TO MAXIMUM LIKELIHOOD BASED ON SPACINGS
- Improved point estimation for the Kumaraswamy distribution
- General results for the Kumaraswamy-G distribution
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