Regression-based Preference Mapping

Regression-Based Preference Mapping is a preference mapping method that uses regression analysis to estimate individuals' ideal points in a multidimensional attribute space by modeling stated preferences as a function of product attribute coordinates.

7

Publications

219

Citations

21

Authors

11

Institutions

Publications per year

2017–2026

2

Authors

21

  1. CK
    C.K. Kwong

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 30 citations

    2

    h-index

  2. FS
    Frank S. Koppelman

    Northwestern University, United States

    1 publications · 18 citations

    1

    h-index

  3. EM
    El Mostafa Qannari

    Institut National Polytechnique de Toulouse, France

    1 publications · 21 citations

    1

    h-index

  4. JL
    Jianfeng Lu

    Nanjing University of Science and Technology, China

    1 publications · 18 citations

    1

    h-index

  5. CM
    Chao Ma

    Nanjing University of Science and Technology, China

    1 publications · 18 citations

    1

    h-index

1–5 of 21

Venues

  1. Food Quality and Preference

    2 publications · 91 citations

    2

    h-index

  2. Value in Health

    1 publications · 62 citations

    1

    h-index

  3. Neurocomputing

    1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5