Jay D. Johnson

Statistics and Probability · 2003–2006

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 15 citations into it; #5,677 of 12,932 by trust here, #2,069 by citations
• Management Science and Operations Research — 11 citations into it

Whom Jay D. Johnson trusts overall

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

1. Ilya M. Sobol
2. Genyuan Li
3. Andreas Griewank
4. H. Christopher Frey
5. Jon C. Helton
6. Roger M. Cooke
7. William Oberkampf

Who trusts Jay D. Johnson overall

1. Leslie R. Pendrill
2. Jon C. Helton
3. Scott Ferson
4. J. Ross
5. C. Storlie
6. Francesca Campolongo
7. V. Wakelam
8. Jan C. Thiele
9. Jongmin Lim
10. Xiaodong Song

Papers from Jay D. Johnson's perspective

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

1. Sensitivity Estimates for Nonlinear Mathematical Models
2. Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
3. Identification and Review of Sensitivity Analysis Methods (Risk Analysis)
4. A Comparative Review of Sensitivity and Uncertainty Analysis of Large-Scale Systems—II: Statistical Methods
5. High Dimensional Model Representations
6. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
7. A User's Guide to Measure-Theoretic Probability
8. Eliciting and Analyzing Expert Judgment, A Practical Guide (Technometrics)
9. Reasoning about uncertainty
10. A review of techniques for parameter sensitivity analysis of environmental models

Their papers

• Survey of sampling-based methods for uncertainty and sensitivity analysis (2006) — 1,277 citations
• An exploration of alternative approaches to the representation of uncertainty in model predictions (2003) — 414 citations