Experimental Design Efficiency

Experimental Design Efficiency is a metric that quantifies the optimality of a choice experiment’s structure by balancing statistical precision and resource utilization in eliciting robust preference data.

202

Publications

21K

Citations

418

Authors

237

Institutions

Publications per year

2017–2026

32

Authors

418

  1. JM
    John M. Rose

    The University of Sydney, Australia

    13 publications · 2.4K citations

    13

    h-index

  2. HD
    Holger Dette

    Ruhr University Bochum, Germany

    11 publications · 286 citations

    11

    h-index

  3. MV
    Martina Vandebroek

    KU Leuven, Belgium

    12 publications · 678 citations

    11

    h-index

  4. PG
    Peter Goos

    University of Antwerp, Belgium

    10 publications · 648 citations

    10

    h-index

  5. MC
    Michiel C.J. Bliemer

    The University of Sydney, Australia

    8 publications · 1.6K citations

    8

    h-index

1–5 of 418

Venues

  1. Journal of the American Statistical Association

    9 publications · 1.1K citations

    9

    h-index

  2. Journal of Marketing Research

    9 publications · 5.3K citations

    9

    h-index

  3. Journal of Statistical Planning and Inference

    6 publications · 118 citations

    6

    h-index

  4. Marketing Science

    5 publications · 397 citations

    5

    h-index

  5. Biometrics

    4 publications · 371 citations

    4

    h-index

1–5