Sarah Ferguson

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Ferguson trusts overall

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

  1. Karen Nylund-Gibson
  2. Katherine E. Masyn
  3. Jeroen K. Vermunt
  4. T. Asparouhov
  5. Grant B. Morgan
  6. Jason W. Osborne
  7. Herbert W. Marsh
  8. B. Muthén
  9. Linda M. Collins
  10. John R. Hipp

Papers from Sarah Ferguson's perspective

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

  1. Latent Class Modeling with Covariates: Two Improved Three-Step Approaches (Political Analysis)
  2. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
  3. Testing the number of components in a normal mixture
  4. Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
  5. Estimating the Dimension of a Model
  6. Finite Mixture Models
  7. Latent Class Analysis and Finite Mixture Modeling
  8. In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
  9. Local solutions in the estimation of growth mixture models. (Psychological methods)
  10. Analysis of Incomplete Multivariate Data (Technometrics)

Their papers