Nathaniel P. Graham

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nathaniel P. Graham trusts overall

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

  1. Achim Zeileis
  2. William N. Venables
  3. Colin Cameron
  4. Philippe Huber
  5. Daniel Hoechle
  6. S. B. Thompson
  7. B. Hansen
  8. K. Liang
  9. B. D. Ripley
  10. Francisco Cribari‐Neto

Papers from Nathaniel P. Graham's perspective

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

  1. Bootstrap Methods: Another Look at the Jackknife
  2. Robust Inference With Multiway Clustering
  3. An approximate distribution of estimates of variance components.
  4. Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence
  5. Longitudinal data analysis using generalized linear models
  6. The behavior of maximum likelihood estimates under nonstandard conditions
  7. Object-oriented Computation of Sandwich Estimators
  8. Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model
  9. Modern applied statistics with S, 4th Edition (Statistics and computing)
  10. Asymptotic theory for clustered samples (Journal of Econometrics)

Their papers