Ur Mathematik

Statistics and Probability · 2007–2009

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ur Mathematik trusts overall

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

  1. B. Muthén
  2. Daniel J. Bauer
  3. P. Deb
  4. Q. Vuong
  5. Huaiyu Zhu
  6. P. Curran
  7. Geoffrey J. McLachlan
  8. Nageswari Shanmugalingam
  9. Anders Bjorn
  10. Juha Kinnunen

Who trusts Ur Mathematik overall

  1. Alexandre J. S. Morin
  2. C. Ketterer
  3. Giovanni Alessandrini
  4. Hongjie Dong
  5. V. Ryazanov
  6. Thierno M. O. Diallo

Papers from Ur Mathematik's perspective

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

  1. Estimating the Dimension of a Model
  2. Latent Variable Mixture Modeling
  3. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (Psychological methods)
  4. Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
  5. Finite Mixture Models
  6. A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories
  7. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
  8. Local solutions in the estimation of growth mixture models. (Psychological methods)
  9. Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthén (2003), and Cudeck and Henly (2003)
  10. The EM algorithm and extensions

Their papers