Estimation of a nonlinear discriminant function from a mixture of two GEV distributions
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Publication:4960599
DOI10.1080/00949655.2018.1423683OpenAlexW2790807451MaRDI QIDQ4960599
Evelyn C. Cruvinel, C. R. Gonçalves, Cira E. Guevara Otiniano
Publication date: 23 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2018.1423683
Cites Work
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- Extremes and related properties of random sequences and processes
- Estimation of a discriminant function from a mixture of two gamma distributions when the sample size is small
- Updating a nonlinear discriminant function estimated from a mixture of two Weibull distributions
- Errors of misclassification associated with gamma distribution
- The efficiency of a nonlinear discriminant function based on unclassified initial samples from a mixture of two Burr type XII populations
- A new condition for identifiability of finite mixture distributions
- Estimation of a Discriminant Function Based on Small Sample Size from a Mixture of Two Gumbel Distributions
- On the identifiability of finite mixtures of distributions (Corresp.)
- Estimating the Linear Discriminant Function from Initial Samples Containing a Small Number of Unclassified Observations
- On MLE of a nonlinear discriminant function from a mixture of two Gompertz distributions based on small sample size
- Estimation of a discriminant function from a mixture of two inverse Weibull distributions
- Updating a nonlinear discriminant function estimated from a mixture of two Burr Type III distributions
- Mixture of extreme-value distributions: identifiability and estimation
- Identifiability of Finite Mixtures
- On the Identifiability of Finite Mixtures
- Estimating the components of a mixture of normal distributions
- Nonparametric Bayes error estimation using unclassified samples
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