Testing the number of components in a normal mixture

By Yungtai Lo, N. Mendell, Donald B. Rubin. 2001

4,633 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0308b4fdab1e08bc9492285edce9afd35f3dab0b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexandre J. S. Morin
2. J. Peugh
3. John P. Meyer
4. Karen Nylund-Gibson
5. Xitao Fan
6. Daniel J. Bauer
7. Katherine E. Masyn
8. E. W. G. Moore

In Statistics and Probability

1. Alexandre J. S. Morin
2. J. Peugh
3. John P. Meyer
4. Xitao Fan
5. Herbert W. Marsh
6. B. Muthén
7. Karen Nylund-Gibson
8. Daniel J. Bauer

Citations in the corpus

• Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept (2009, neutral): “…and tests of statistical significance that were used to aid in the determination of the number of groups: the difference in the LRT developed by Lo, Mendell, and Rubin (2001) and its alternative based on BLRT (McLachlan & Peel, 2000) and information criterion indexes— the Baysian Information…”
• A Multivariate Associative Finite Growth Mixture Modeling Approach Examining Adolescent Alcohol and Marijuana Use (2004, methodology): “This test is only appropriate for means-only, nonvarying variance-covariance models in which only the means are allowed to vary ( Lo, Mendell, & Rubin, 2001 ).”
• Developmental Typologies of Identity Formation and Adjustment in Female Emerging Adults: A Latent Class Growth Analysis Approach (2008, methodology): “Third, we utilized the bootstrap Lo, Mendell, and Rubin (2001) test (BLRT; Nylund, Asparouhov, & Muthén, 2007) which compares the improvement in fit between neighboring class solutions (i.e., comparing the k 1 and k-class solution).”
• Poly-victimization and risk of posttraumatic, depressive, and substance use disorders and involvement in delinquency in a national sample of adolescents. (2010, methodology): “The Lo-Mendell-Rubin adjusted likelihood ratio test [34] was used to compare each model with K classes against a model with K – 1 classes [35].”
• Modified likelihood ratio test in finite mixture models with a structural parameter (2005, background): “Additional recent work can be found in McLachlan and Peel (2000), Lo et al. (2001), Garel (2001) and Garel and Goussanou (2002).”
• Investigating population heterogeneity with factor mixture models. (2005, background): “These indexes are described in Akaike (1974), Schwarz (1978), L. K. Muthe ´n and Muthe ´n (2001), and Lo, Mendell, and Rubin (2001) , respectively.”
• Why Tenth Graders Fail to Finish High School: A Dropout Typology Latent Class Analysis (2012, methodology): “Following the recommendations of the mixture modeling literature (Jung & Wickrama, 2008 ; Lo, 2005 ; Lo, Mendell, & Rubin, 2001 ), and given the ambiguity of the number of dropout categories in the dropout typology literature that hypothesized multiple overlapping dropout types, we tested an iter”