Dincer Goksuluk

Statistics and Probability · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Dincer Goksuluk trusts overall

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

  1. Hadley Wickham
  2. R. Fisher
  3. M. Pepe
  4. Elizabeth R. DeLong
  5. Mónica López-Ratón
  6. Xavier Robin
  7. Peter J. Rousseeuw
  8. Wolfgang Karl Härdle
  9. Tom Fawcett
  10. David M. DeLong

Who trusts Dincer Goksuluk overall

  1. F. Nahm
  2. Pierre Legendre
  3. Susanne Braun
  4. Marc Hallin
  5. Shaohui Liu
  6. Á. Dooley

Papers from Dincer Goksuluk's perspective

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

  1. An introduction to ROC analysis
  2. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
  3. ROC analysis: applications to the classification of biological sequences and 3D structures (Briefings Bioinform.)
  4. Estimation and Comparison of Receiver Operating Characteristic Curves (The Stata Journal)
  5. pROC: an open-source package for R and S+ to analyze and compare ROC curves
  6. The Split-Apply-Combine Strategy for Data Analysis
  7. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  8. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
  9. Applied Multivariate Statistical Analysis
  10. Better decisions through science. (Scientific American)

Their papers