EM-test for homogeneity in a two-sample problem with a mixture structure
From MaRDI portal
Publication:5037051
DOI10.1080/02664763.2019.1652254OpenAlexW2967275303WikidataQ127390859 ScholiaQ127390859MaRDI QIDQ5037051
No author found.
Publication date: 25 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2019.1652254
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Testing homogeneity in a scale mixture of normal distributions
- Testing homogeneity in a semiparametric two-sample problem
- Consistency of the penalized MLE for two-parameter gamma mixture models
- Hypothesis test for normal mixture models: the EM approach
- A constrained formulation of maximum-likelihood estimation for normal mixture distributions
- Asymptotics for likelihood ratio tests under loss of identifiability
- Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
- Asymptotic null distribution of the modified likelihood ratio test for homogeneity in finite mixture models
- Asymptotic theory of the likelihood ratio test for the identification of a mixture
- Case-control studies with contaminated controls
- The likelihood ratio test for homogeneity in finite mixture models
- Testing for intercept-scale switch in linear autoregression
- Hypothesis Testing in a Mixture Case-Control Model
- Testing homogeneity in a multivariate mixture model
- Non-finite Fisher information and homogeneity: an EM approach
- A Graphical Technique for Determining the Number of Components in a Mixture of Normals
- Testing for Imperfect Debugging in Software Reliability
- Testing Homogeneity in Gamma Mixture Models
- Using differential variability to increase the power of the homogeneity test in a two-sample problem
- Detecting a Major Gene in an F2 Population
- A Class of Pseudolikelihood Ratio Tests for Homogeneity in Exponential Tilt Mixture Models
- Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
- Testing Homogeneity in a Mixture Distribution via theL2Distance Between Competing Models