Updating a nonlinear discriminant function estimated from a mixture of two inverse Weibull distributions
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Publication:1935685
DOI10.1007/S00362-011-0416-ZzbMath1256.62039OpenAlexW2018241033MaRDI QIDQ1935685
A. S. Al-Moisheer, Khalaf Salman Sultan
Publication date: 19 February 2013
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-011-0416-z
Monte Carlo simulationsrelative efficiencyfinite mixturesclassified and unclassified observationssample discriminant function
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Monte Carlo methods (65C05)
Related Items (4)
The local asymptotic estimation for the supremum of a random walk with generalized strong subexponential summands ⋮ Updating a nonlinear discriminant function estimated from a mixture of two Burr Type III distributions ⋮ A mixture of two Burr type III distributions: identifiability and estimation under type II censoring ⋮ Approximate Bayes estimation of the parameters and reliability function of a mixture of two inverse Weibull distributions under Type-2 censoring
Cites Work
- Mixture of two inverse Weibull distributions: properties and estimation
- Updating a nonlinear discriminant function estimated from a mixture of two Weibull distributions
- Updating and asymptotic relative efficiency of a nonlinear discriminant function estimated from a mixture of two Gompertz populations
- Testing the number of components of the mixture of two inverse Weibull distributions
- Estimation Problems with Data from a Mixture
- Some Efficiency Results for the Estimation of the Mixing Proportion in a Mixture of Two Normal Distributions
- Updating discriminant functions estimated from inverse gaussian populations
- Multivariate logistic compounds
- Applications of the EM Algorithm to the Analysis of Life Length Data
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