Finite mixture of Birnbaum-Saunders distributions using the \(k\)-bumps algorithm
From MaRDI portal
Publication:2136039
DOI10.1007/s42519-022-00245-zOpenAlexW2740481277MaRDI QIDQ2136039
Fernando Marmolejo-Ramos, Filidor Vilca, Luis Benites, Rocío Maehara
Publication date: 10 May 2022
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1708.00476
EM algorithmmaximum likelihood estimationBirnbaum-Saunders distributionfinite mixture\(k\)-bumps algorithm
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Robust mixture modeling based on scale mixtures of skew-normal distributions
- Modeling neural activity with cumulative damage distributions
- Modified moment estimation for the two-parameter Birnbaum-Saunders distribution
- Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
- Estimating the dimension of a model
- On the global and componentwise rates of convergence of the EM algorithm
- On bivariate and a mixture of bivariate Birnbaum-Saunders distributions
- Finite mixtures of unimodal beta and gamma densities and the \(k\)-bumps algorithm
- On some mixture models based on the Birnbaum-Saunders distribution and associated inference
- Mixtures
- Maximum likelihood estimation via the ECM algorithm: A general framework
- Mixture inverse Gaussian distributions and its transformations, moments and applications
- Finding Groups in Data
- A moment-generating function with application to the birnbaum-saunders distribution
- Estimating the Propagation Rate of a Viral Infection of Potato Plants via Mixtures of Regressions
- Robust explicit estimation of the two-parameter Birnbaum–Saunders distribution
- GAMLSS: A distributional regression approach
- Bimodal Birnbaum–Saunders distribution with applications to non negative measurements
- Identifiability of Mixtures of Product Measures
- On the Identifiability of Finite Mixtures
- A new family of life distributions
This page was built for publication: Finite mixture of Birnbaum-Saunders distributions using the \(k\)-bumps algorithm