Testing the number of components of the mixture of two inverse Weibull distributions
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Publication:3630042
DOI10.1080/00207160701690425zbMath1165.65311OpenAlexW2063884065MaRDI QIDQ3630042
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Publication date: 2 June 2009
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: http://www.informaworld.com/smpp/./content~db=all~content=a794799582
EM algorithmlikelihood ratio testnumerical examplesMonte Carlo methodtest statisticfinite mixturesinverse Weibull distributionspercentage points and power
Related Items (5)
Mixture of inverse Weibull and lognormal distributions: properties, estimation, and illustration ⋮ Updating a nonlinear discriminant function estimated from a mixture of two inverse Weibull distributions ⋮ Updating a nonlinear discriminant function estimated from a mixture of two Burr Type III distributions ⋮ Sequential test for a mixture of finite exponential distribution ⋮ Approximate Bayes estimation of the parameters and reliability function of a mixture of two inverse Weibull distributions under Type-2 censoring
Cites Work
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- Weighted tests of homogeneity for testing the number of components in a mixture
- Mixture of two inverse Weibull distributions: properties and estimation
- An entropy criterion for assessing the number of clusters in a mixture model
- On testing for the number of components in a mixed Poisson model
- Likelihood ratio tests based on subglobal optimization: A power comparison in exponential mixture models
- Statistical analysis of finite mixture distributions
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
- Conditional confidence interval estimation for the inverse weibull distribution based on censored generalized order statistics
- A cautionary note on likelihood ratio tests in mixture models
- Large sample distribution of the likelihood ratio test for normal mixtures
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