Tacksoo Shin

Statistics and Probability · 2009

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tacksoo Shin trusts overall

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

  1. Craig K. Enders
  2. Peter M. Bentler
  3. Joseph L. Schafer
  4. Michael S. Gold
  5. Ke-Hai Yuan
  6. Victoria Savalei
  7. Michael J. Daniels
  8. J. Graham
  9. D. Bandalos
  10. Joseph W. Hogan

Who trusts Tacksoo Shin overall

  1. Rebecca J. Collie

Papers from Tacksoo Shin's perspective

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

  1. The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models
  2. The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data. (Psychological methods)
  3. Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples.
  4. Missing data: our view of the state of the art. (Psychological methods)
  5. Treatments of Missing Data: A Monte Carlo Comparison of RBHDI, Iterative Stochastic Regression Imputation, and Expectation-Maximization
  6. A comparison of inclusive and restrictive strategies in modern missing data procedures. (Psychological methods)
  7. The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality
  8. Analysis of Incomplete Multivariate Data (Technometrics)
  9. Missing data
  10. A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Nonnormal Data

Their papers