Byron C. Jaeger

Statistics and Probability · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Byron C. Jaeger trusts overall

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

  1. Andrew Gelman
  2. Shinichi Nakagawa
  3. H. Schielzeth
  4. Joseph Hilbe
  5. Iain Pardoe
  6. Paul C. Johnson

Who trusts Byron C. Jaeger overall

  1. Jason D. Rights
  2. Shinichi Nakagawa
  3. S. Sterba
  4. P. C. Johnson

Papers from Byron C. Jaeger's perspective

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

  1. Data Analysis Using Regression and Multilevel/Hierarchical Models
  2. Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models (Technometrics)
  3. A general and simple method for obtaining R2 from generalized linear mixed‐effects models
  4. Generalized linear mixed models: a practical guide for ecology and evolution. (Trends in Ecology & Evolution)
  5. Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models (Methods in Ecology and Evolution)
  6. Generalized linear mixed models: a review and some extensions (Lifetime Data Analysis)
  7. Explained Variance Measures for Multilevel Models
  8. Bayesian measures of model complexity and fit
  9. Information Theory and an Extension of the Maximum Likelihood Principle
  10. Discussion of "Analysis of variance--why it is more important than ever" by A. Gelman

Their papers