Likelihood ratio tests of the number of components in a normal mixture with unequal variances
By Yungtai Lo. 2005
53 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d78d4c3cfa51fd0e6f0c8d99181b05fb7a9ca8b9
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In Artificial Intelligence
In Statistics and Probability
Citations in the corpus
- What Are the Different Types of Principals Across the United States? A Latent Class Analysis of Principal Perception of Leadership (2014, methodology): “…of principal), and then subsequent models are fit to the data, and model fit is assessed using a k – 1 hypothesis test, the Lo-Mendell-Rubin (LMR; Lo, 2005; Lo, Mendell, & Rubin, 2001), along with negative log likelihood, Akaike information criterion (AIC), and Bayesian information criterion…”
- 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 iterative ”