Peter Goos

Economics and Econometrics · 2001–2017

A researcher in the Science corpus: 16 papers; trusts 21 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 39 citations into it; #5,768 of 23,481 by trust here, #9,665 by citations
• Management Science and Operations Research — 29 citations into it; #1,377 of 11,946 by trust here, #1,959 by citations
• Marketing — 13 citations into it
• Statistics and Probability — 13 citations into it; #11,318 of 12,932 by trust here, #10,855 by citations
• Analytical Chemistry — 12 citations into it
• General Decision Sciences — 12 citations into it
• Computational Theory and Mathematics — 8 citations into it; #5,300 of 12,182 by trust here, #4,199 by citations
• Transportation — 7 citations into it

Whom Peter Goos trusts overall

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

1. Zsolt Sándor
2. Martina Vandebroek
3. Roselinde Kessels
4. Daniel McFadden
5. M. Wedel
6. John M. Rose
7. Michiel C. J. Bliemer
8. David A. Hensher
9. Deborah J. Street
10. Bradley A. Jones

Who trusts Peter Goos overall

1. Bradley A. Jones
2. Bart Vermeulen
3. Michiel C. J. Bliemer
4. Mohammad Hadigol
5. John M. Rose
6. Martina Vandebroek
7. Roselinde Kessels
8. Ulrike Graßhoff
9. Alireza Doostan
10. David A. Hensher

Papers from Peter Goos's perspective

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

1. Designing Conjoint Choice Experiments Using Managers' Prior Beliefs
2. OPTIMAL DESIGNS FOR 2 k PAIRED COMPARISON EXPERIMENTS
3. A Comparison of Criteria to Design Efficient Choice Experiments
4. Conditional logit analysis of qualitative choice behavior
5. Assessing the influence of design dimensions on stated choice experiment estimates
6. Constructing Efficient Stated Choice Experimental Designs
7. Optimal Designs for 2 k Choice Experiments
8. Profile Construction in Experimental Choice Designs for Mixed Logit Models
9. Modelling attribute non-attendance in choice experiments for rural landscape valuation
10. Bayesian Experimental Design: A Review

Their papers

• A Comparison of Criteria to Design Efficient Choice Experiments (2006) — 252 citations
• An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs (2009) — 103 citations
• Bayesian optimal designs for discrete choice experiments with partial profiles (2011) — 131 citations
• The optimal design of blocked and split-plot experiments (2002) — 92 citations
• Optimal Split-Plot Designs (2001) — 118 citations
• Optimal Design of Experiments: A Case Study Approach (2011) — 419 citations
• Outperforming Completely Randomized Designs (2004) — 90 citations
• Models and Optimal Designs for Conjoint Choice Experiments Including a No-Choice Option (2008) — 111 citations
• D -optimal response surface designs in the presence of random block effects (2001) — 60 citations
• I-Optimal Versus D-Optimal Split-Plot Response Surface Designs (2012) — 139 citations
• A comparison of soil tests for available phosphorus in long‐term field experiments in Europe (2017) — 98 citations
• Glare based apple sorting and iterative algorithm for bruise region detection using shortwave infrared hyperspectral imaging (2017) — 59 citations
• I-Optimal Design of Mixture Experiments (2016) — 135 citations
• Location of logistics companies : a stated preference study to disentangle the impact of accessibility (2015) — 114 citations
• D-optimal design of split-split-plot experiments (2009) — 60 citations
• Practical Inference from Industrial Split-Plot Designs (2006) — 63 citations