Gokmen Zararsiz
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; #7,137 of 12,932 by trust here, #6,552 by citations
- Artificial Intelligence — 5 citations into it; #31,914 of 35,345 by trust here, #34,213 by citations
Whom Gokmen Zararsiz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Gokmen Zararsiz overall
Papers from Gokmen Zararsiz's perspective
Ordered by how strongly the researchers Gokmen Zararsiz trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
- Applied Multivariate Statistical Analysis
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
- Better decisions through science. (Scientific American)
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