R. Rich

Statistics and Probability · with Reich · 2007–2019

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. Rich trusts overall

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

  1. G. Quinn
  2. Michael E. Hohn
  3. C. Y. Peng
  4. M. Keough
  5. Ricardo A. Olea
  6. K. Lee
  7. Michael J. Papaik

Papers from R. Rich's perspective

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

  1. An Introduction to Logistic Regression Analysis and Reporting
  2. Experimental Design and Data Analysis for Biologists
  3. Species resistance and community response to wind disturbance regimes in northern temperate forests
  4. Applied Regression Including Computing and Graphics
  5. Density Estimation for Statistics and Data Analysis
  6. A new method for non-parametric multivariate analysis of variance in ecology
  7. High Educational Expectations and Low Achievement: Stability of Educational Goals Across Adolescence
  8. Logistic Regression Analysis and Reporting: A Primer
  9. Regression and model-building in conservation biology, biogeography and ecology: The distinction between – and reconciliation of – ‘predictive’ and ‘explanatory’ models (Biodiversity and Conservation)
  10. Applied Linear Statistical Models

Their papers