Literature DB >> 26825421

A Monte Carlo Investigation Of The Likelihood Ratio Test For The Number Of Components In A Mixture Of Normal Distributions.

B S Everitt.   

Abstract

A likelihood ratio test to determine whether data arises from a single or a mixture of two normal distributions is investigated by Monte Carlo methods. The results show that the proposed sampling distribution of the test appears to be appropriate only for sample sizes above fifty, and for data where the sample size is ten times the number of variables. For such cases the power of the test is considered and found to be fairly low unless the generalized distance between the components is greater than 2.0.

Year:  1981        PMID: 26825421     DOI: 10.1207/s15327906mbr1602_3

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  3 in total

1.  Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling: A Simulation Study.

Authors:  Ming Li; Jeffrey R Harring
Journal:  Educ Psychol Meas       Date:  2016-06-15       Impact factor: 2.821

2.  Comparison of Methods for Identifying Phenotype Subgroups Using Categorical Features Data With Application to Autism Spectrum Disorder.

Authors:  Mulugeta Gebregziabher; Matthew S Shotwell; Jane M Charles; Joyce S Nicholas
Journal:  Comput Stat Data Anal       Date:  2012-01-01       Impact factor: 1.681

3.  Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models.

Authors:  Su-Young Kim
Journal:  Struct Equ Modeling       Date:  2014       Impact factor: 6.125

  3 in total

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