Journal ArticleDOI
A moment-based test for the homogeneity in mixture natural exponential family with quadratic variance functions
TLDR
In this paper, a simple moment-based procedure for testing homogeneity in the natural exponential family with quadratic variance functions is proposed, which directly tests the hypotheses without the need to establish parameter estimability.About:
This article is published in Statistics & Probability Letters.The article was published on 2009-03-15. It has received 2 citations till now. The article focuses on the topics: Natural exponential family & Null distribution.read more
Citations
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Journal ArticleDOI
Edgeworth Expansion of the Moment-Based Test for Homogeneity in an NEF-QVF Mixture Model
TL;DR: This article studies the moment-based test procedure for a mixture distribution for the Natural exponential family with quadratic variance functions (NEF-QVF) family proposed by Ning et al. (2009b) in the small sample size scenario and derives the approximation for the null distribution of the test statistic by the Edgeworth expansion.
Journal ArticleDOI
Homogeneity test based on ranked set samples
Hamid Rahmani,Mostafa Razmkhah +1 more
TL;DR: In this paper, the homogeneity hypothesis is investigated in a location family of distributions and a moment-based test is introduced based on data collected from a ranked set sampling scheme, and the asymptotic distrib...
References
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BookDOI
Finite mixture models: McLachlan/finite mixture models
Geoffrey J. McLachlan,David Peel +1 more
TL;DR: The important role of finite mixture models in statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the statistical and geospatial literature.
Book
Finite Mixture Models
Geoffrey J. McLachlan,David Peel +1 more
TL;DR: The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the mathematical and statistical literature.
Book
Statistical analysis of finite mixture distributions
TL;DR: This course discusses Mathematical Aspects of Mixtures, Sequential Problems and Procedures, and Applications of Finite Mixture Models.
Book
Mixture models : inference and applications to clustering
TL;DR: The Mixture Likelihood Approach to Clustering and the Case Study Homogeneity of Mixing Proportions Assessing the Performance of the Mixture likelihood approach toClustering.
Book
Finite Mixture Distributions
Brian Everitt,David J. Hand +1 more
TL;DR: In this paper, the authors propose a method to estimate the parameters in normal mixture distributions. But this method is not suitable for counting the number of components in a mixture and cannot be used to detect mixtures of binomial distributions.