Psychometric Function Estimation

Psychometric Function Estimation is the statistical modeling process that characterizes the relationship between a physical stimulus intensity and an observer's response probability in threshold detection tasks, distinguished by its use of parametric or non-parametric functions to estimate sensory or perceptual thresholds from behavioral data.

192

Publications

21.8K

Citations

391

Authors

190

Institutions

Publications per year

2017–2026

27

Authors

391

  1. MA
    Miguel A. García‐Pérez

    Universidad Complutense de Madrid, Spain

    13 publications · 463 citations

    12

    h-index

  2. RA
    Rocío Alcalá‐Quintana

    Universidad Complutense de Madrid, Spain

    9 publications · 301 citations

    9

    h-index

  3. DM
    David M. Green

    McGill University, Canada

    7 publications · 302 citations

    7

    h-index

  4. DF
    David Foster

    University of Manchester, United Kingdom

    5 publications · 365 citations

    5

    h-index

  5. FA
    Felix A. Wichmann

    Max Planck Institute for Biological Cybernetics, Germany

    5 publications · 3.4K citations

    5

    h-index

1–5 of 391

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 30 publications · 1.6K citations

    21

    h-index

  2. Journal of Vision

    18 publications · 1.6K citations

    16

    h-index

  3. Perception & Psychophysics

    8 publications · 3.3K citations

    8

    h-index

  4. Attention Perception & Psychophysics

    7 publications · 299 citations

    8

    h-index

  5. Vision Research

    7 publications · 1.3K citations

    7

    h-index

1–5