Jay Breidt

2005–2007

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Whom Jay Breidt trusts overall

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

  1. Lynne Stokes
  2. Roderick J. A. Little
  3. F. J. Breidt
  4. Changbao Wu
  5. Jürgen Symanzik

Who trusts Jay Breidt overall

  1. Jianqing Fan
  2. Sam Efromovich
  3. Jiti Gao
  4. Bin Chen
  5. Yingxing Li
  6. Laurent E. Calvet
  7. Zudi Lu
  8. S. Chen
  9. Marc Hallin
  10. Degui Li

Papers from Jay Breidt's perspective

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

  1. Local polynomial regresssion estimators in survey sampling
  2. Calibration Estimators in Survey Sampling
  3. Comparing five modelling techniques for predicting forest characteristics
  4. To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
  5. Penalized Spline Model-Based Estimation of the Finite Populations Total from Probability-Proportional-to-Size Samples
  6. A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
  7. Introduction to Variance Estimation
  8. Selecting the Number of Knots for Penalized Splines
  9. On the Foundations of Statistical Inference
  10. A Generalization of Sampling Without Replacement from a Finite Universe

Their papers