Amber McEnturff

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amber McEnturff trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. B. Muthén
  2. K. Burnham

Papers from Amber McEnturff's perspective

Ordered by how strongly the researchers Amber McEnturff trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Estimating the Dimension of a Model
  2. Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
  3. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (Psychological methods)
  4. Testing the number of components in a normal mixture
  5. Evaluating latent class analysis models in qualitative phenotype identification (Computational Statistics & Data Analysis)
  6. Statistical and substantive checking in growth mixture modeling: comment on Bauer and Curran (2003). (Psychological methods)
  7. A note on 'Testing the number of components in a normal mixture'
  8. Finite Mixture Models
  9. Bayesian measures of model complexity and fit
  10. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study

Their papers