Michael Smithson

Statistics and Probability · 2000–2017

A researcher in the Science corpus: 9 papers; trusts 22 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Smithson trusts overall

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

  1. P. Lachenbruch
  2. Eric R. Ziegel
  3. Francisco Cribari‐Neto
  4. Silvia L. P. Ferrari
  5. J. Scott Long
  6. R. Kieschnick
  7. Andrew Gelman
  8. William J. Browne
  9. Richard J. Cleary
  10. Klaus L. P. Vasconcellos

Who trusts Michael Smithson overall

  1. B. Thompson
  2. Xitao Fan
  3. Geoff Cumming
  4. Daniël Lakens
  5. K. Bird
  6. Ross Donohue
  7. Silvia L. P. Ferrari
  8. D. Walker
  9. Fiona Fidler
  10. Ken Kelley

Papers from Michael Smithson's perspective

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

  1. Regression analysis of variates observed on (0, 1): percentages, proportions and fractions
  2. Beta Regression for Modelling Rates and Proportions
  3. Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model
  4. On beta regression residuals
  5. Partitioning variation in multilevel models
  6. Conservative prior distributions for variance parameters in hierarchical models
  7. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  8. Bayesian and likelihood-based methods in multilevel modeling 1 A comparison of Bayesian and likelihood-based methods for fitting multilevel models
  9. A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. (Psychological methods)
  10. Inference from Iterative Simulation Using Multiple Sequences

Their papers