F. Schiller

Statistics and Probability · 2003

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 6 citations into it
• Computer Networks and Communications — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom F. Schiller trusts overall

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

1. Craig K. Enders

Papers from F. Schiller's perspective

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

1. Latent Variable Mixture Modeling
2. A First Course in Structural Equation Modeling
3. The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models
4. On the nature and direction of relationships between constructs and measures. (Psychological methods)
5. Maximum likelihood estimation of latent interaction effects with the LMS method
6. Causality : Models , Reasoning , and Inference
7. A Primer on Maximum Likelihood Algorithms Available for Use With Missing Data
8. Reporting Analyses of Covariance Structures
9. Some contributions to maximum likelihood factor analysis
10. Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class–latent growth modeling.

Their papers

• (Why) Should We Use SEM? Pros and Cons of Structural Equation Modeling (2003) — 250 citations