Large sample interval mapping method for genetic trait loci in finite regression mixture models
DOI10.1016/J.JSPI.2008.03.041zbMath1156.62089OpenAlexW2041082575MaRDI QIDQ1007455
Zhaohai Li, Hanfeng Chen, Hong Zhang
Publication date: 20 March 2009
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.03.041
likelihood ratio testPoisson mixtureidentifiabilitybinomial mixturenormal mixturebackcross designgeneralized linear regression mixtureintercross designlogistic regression mixture
Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Asymptotic properties of parametric tests (62F05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Asymptotic distribution of the likelihood ratio test that a mixture of two binomials is a single binomial
- Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
- Generalized score test of homogeneity for mixed effects models
- A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
- The likelihood ratio test for homogeneity in finite mixture models
- Mixed Poisson Regression Models with Covariate Dependent Rates
- Hypothesis Testing in Mixture Regression Models
- A Mixture Model for Longitudinal Data with Application to Assessment of Noncompliance
- Identifiability of Mixtures
- The Full EM Algorithm for the MLEs of QTL Effects and Positions and Their Estimated Variances in Multiple‐Interval Mapping
- Note on the Consistency of the Maximum Likelihood Estimate
This page was built for publication: Large sample interval mapping method for genetic trait loci in finite regression mixture models