Hypothesis test for normal mixture models: The EM approach (2009)
Normal mixture distributions are arguably the most important mixture models, and also the most technically challenging. The likelihood function of the normal mixture model is unbounded based on a set...
Five new species of the genus Microplitis Foerster (Hymenoptera: Braconidae: Microgastrinae) are described and illustrated: Microplitis basipallescentis, sp. nov., M. brevispina, sp. nov., M....
Inference for Multivariate Normal Mixtures (2008)
Multivariate normal mixtures provide a flexible model for high-dimensional data. They are widely used in statistical genetics, statistical finance, and other disciplines. Due to the unboundedness of...
Modified likelihood ratio test for homogeneity in a mixture of von Mises distributions (2008)
Yuejiao Fu, Jiahua Chen, Pengfei Li
SUMMARY. Directional data are often collected in applications such as in genetics, geology and astrolomy. One particular statistical problem of interest is whether the data are from a mixture of two...
Extended Bayesian information criteria for model selection with large model spaces (2008)
The ordinary Bayesian information criterion is too liberal for model selection when the model space is large. In this paper, we re-examine the Bayesian paradigm for model selection and propose an...
Empirical Likelihood Inference in the Presence of Measurement Error (2007)
Bob Zhong Jiahua, Bob Zhong, Jiahua Chen
Suppose that several di#erent imperfect instruments and one perfect instrument are used independently to measure some characteristic of a population. The authors consider the problem of combining...
Biases And Variances Of Survey Estimators Based On Nearest Neighbor Imputation (2007)
Nearest neighbor imputation is one of the hot deck methods used to compensate for nonresponse in sample surveys. Although it has a long history of application, theoretical properties of the nearest...
Estimation of Fish Abundance Indices Based on Scientific Research Trawl Surveys (2004)
Jiahua Chen, Mary E. Thompson, Changbao Wu
Summary. The fish abundance index over an ocean region is defined here to be the integral of expected catch per unit effort (CPUE), approximated by the sum of expected CPUE over grid squares. When...
Abstract: We use the model-calibrated pseudo empirical likelihood method to construct estimators for the finite population distribution function. Under an assumed superpopulation working model, the...
Empirical Likelihood Inference in the Presence of Measurement Error (2001)
Suppose that several di#erent imperfect instruments and one perfect instrument are used independently to measure some characteristic of a population. The authors consider the problem of combining...
The Likelihood Ratio Test For Homogeneity In The Finite Mixture Models (1998)
In this paper, we study the large sample behavior of the likelihood ratio test statistic for testing homogeneity in the finity mixture models of a general parametric distribution family. It is proved...
In finite population inference problems, auxiliary population information is often available. We show in this paper that the empirical likelihood method can be naturally applied to such problems to...
Testing for a finite mixture model with two components
Hanfeng Chen, Jiahua Chen, John D. Kalbfleisch
We consider a finite mixture model with "k" components and a kernel distribution from a general one-parameter family. The problem of testing the hypothesis "k"=2 "versus""k"⩾3 is studied....
Empirical Bayes estimation and its superiority for two-way classification model
Consider a two-way classification model, and let [alpha] and [beta] be the vectors of treatment effects of two factors A and B under investigation. We discuss the problem of constructing Bayes and...
Statistical inference on comparing two distribution functions with a possible crossing point
Chen, Guijing, Chen, Jiahua, Chen, Yuming
Based on rank statistics, new distribution-free tests on the crossing point between two distribution functions are proposed. Simulation indicates that the new tests have higher power than tests in...
Large sample distribution of the likelihood ratio test for normal mixtures
This article concerns with the problem of testing whether a mixture of two normal distributions with bounded means and specific variance is simply a pure normal. The large sample behavior of the...
Application of modified information criterion to multiple change point problems
The modified information criterion (MIC) is applied to detect multiple change points in a sequence of independent random variables. We find that the method is consistent in selecting the correct...
Inference for multivariate normal mixtures
Multivariate normal mixtures provide a flexible model for high-dimensional data. They are widely used in statistical genetics, statistical finance, and other disciplines. Due to the unboundedness of...