Martin Hecht

2020

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

Whom Martin Hecht trusts overall

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

  1. Johan H. L. Oud
  2. J. Selig
  3. E. Hamaker
  4. Jun Yu
  5. Michael C. Neale
  6. T. Little
  7. M. Delsing
  8. Rebecca M. Kuiper
  9. James R. Carpenter
  10. Raoul P. P. P. Grasman

Papers from Martin Hecht's perspective

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

  1. R: A language and environment for statistical computing.
  2. Continuous Time Modeling of Panel Data by means of SEM
  3. Bias in the estimation of the mean reversion parameter in continuous time models
  4. Autoregressive and cross-lagged panel analysis for longitudinal data.
  5. A critique of the cross-lagged panel model. (Psychological methods)
  6. OpenMx 2.0: Extended Structural Equation and Statistical Modeling (Psychometrika)
  7. Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians.
  8. Latent variable modeling of differences and changes with longitudinal data. (Annual Review of Psychology)
  9. The best of both worlds: Combining autoregressive and latent curve models.
  10. An Introduction to the Bootstrap

Their papers