M. Kramer

2005

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom M. Kramer trusts overall

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

  1. Andrew Gelman
  2. Iain Pardoe
  3. Gordon K. Smyth

Who trusts M. Kramer overall

  1. Jason D. Rights
  2. S. Sterba

Papers from M. Kramer's perspective

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

  1. Pearson's goodness of fit statistic as a score test statistic
  2. Mixed-Effects Models in S and S-Plus
  3. Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models (Technometrics)
  4. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
  5. Data Analysis Using Stein's Estimator and its Generalizations
  6. Information Theory and an Extension of the Maximum Likelihood Principle
  7. Bayesian measures of model complexity and fit
  8. Statistical Analysis With Missing Data
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. Generalized Additive Models

Their papers