J. Neuhaus

Statistics and Probability · 2001–2019

A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 69 researchers here, as inferred from the citation graph.

Subfields

Whom J. Neuhaus trusts overall

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

  1. Patrick J. Heagerty
  2. Philippe Huber
  3. Hirotogu Akaike
  4. D. Rasch
  5. Yulei He
  6. Charles E. McCulloch
  7. Eric R. Ziegel
  8. Geert Verbeke
  9. Hirotugu Akaike
  10. V. Guiard

Who trusts J. Neuhaus overall

  1. Francis L. Huang
  2. Frances Krsinich
  3. Nicholas A. Bowman
  4. Katerina Bodovski
  5. Venkat Kuppuswamy
  6. J. Stephan
  7. Melissa Thompson
  8. Eunmi Mun
  9. Gino Cattani
  10. Jeong‐Bon Kim

Papers from J. Neuhaus's perspective

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

  1. Generalized Linear Models
  2. Tukey's gh Distribution for Multiple Imputation
  3. Misspecified maximum likelihood estimates and generalised linear mixed models
  4. Information Theory and an Extension of the Maximum Likelihood Principle
  5. The robustness of parametric statistical methods
  6. Within‐cluster resampling
  7. The behavior of maximum likelihood estimates under nonstandard conditions
  8. Separating between‐ and within‐cluster covariate effects by using conditional and partitioning methods
  9. Conditional Linear Mixed Models
  10. Conditional and Marginal Models: Another View

Their papers