Selçuk Korkmaz
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
- Statistics and Probability — 12 citations into it; #7,136 of 12,932 by trust here, #6,552 by citations
- Artificial Intelligence — 5 citations into it; #31,854 of 35,345 by trust here, #34,213 by citations
Whom Selçuk Korkmaz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Fisher
- Peter J. Rousseeuw
- Wolfgang Karl Härdle
- Hadley Wickham
- Léopold Simar
- M. Pepe
- Elizabeth R. DeLong
- Mónica López-Ratón
Who trusts Selçuk Korkmaz overall
- Pierre Legendre
- Susanne Braun
- Marc Hallin
- Shaohui Liu
- F. Nahm
- Á. Dooley
- D. Borcard
- Gilles Mordant
- Yi Wei
- Niluefer Aydin
Papers from Selçuk Korkmaz's perspective
Ordered by how strongly the researchers Selçuk Korkmaz trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
- Applied Multivariate Statistical Analysis
- An introduction to ROC analysis
- Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
- ROC analysis: applications to the classification of biological sequences and 3D structures (Briefings Bioinform.)
- Estimation and Comparison of Receiver Operating Characteristic Curves (The Stata Journal)
- pROC: an open-source package for R and S+ to analyze and compare ROC curves
- The Split-Apply-Combine Strategy for Data Analysis
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
- An Analysis of Variance Test for Normality (Complete Samples)
Their papers
- MVN: An R Package for Assessing Multivariate Normality (2014) — 1,151 citations
- easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment (2016) — 361 citations