Efficient Experimental Design

Efficient Experimental Design is a methodological framework within stated preference methods that optimizes the statistical precision of parameter estimates while minimizing the number of required observations or choice tasks by systematically constructing experimental conditions according to predetermined efficiency criteria.

397

Publications

27.3K

Citations

881

Authors

426

Institutions

Publications per year

2017–2026

71

Variants

Optimal Experimental Design

Authors

881

  1. MV
    Martina Vandebroek

    KU Leuven, Belgium

    16 publications · 918 citations

    14

    h-index

  2. PG
    Peter Goos

    University of Antwerp, Belgium

    14 publications · 814 citations

    13

    h-index

  3. HD
    Holger Dette

    Ruhr University Bochum, Germany

    13 publications · 394 citations

    12

    h-index

  4. JM
    John M. Rose

    The University of Sydney, Australia

    11 publications · 1.8K citations

    11

    h-index

  5. SM
    Susan M. Sanchez

    Naval Postgraduate School, United States

    9 publications · 245 citations

    9

    h-index

1–5 of 881

Venues

  1. Technometrics

    18 publications · 1.1K citations

    15

    h-index

  2. Journal of the American Statistical Association

    16 publications · 996 citations

    14

    h-index

  3. Biometrics

    13 publications · 980 citations

    13

    h-index

  4. Journal of Statistical Planning and Inference

    12 publications · 380 citations

    11

    h-index

  5. Biometrika

    11 publications · 347 citations

    10

    h-index

1–5