Psychometric Function Fitting

Psychometric Function Fitting is the statistical method of estimating the parameters of a psychometric function, which describes the relationship between stimulus intensity and an observer's response probability, by applying a mathematical model to empirical data to characterize sensory or perceptual detection thresholds.

177

Publications

20.7K

Citations

395

Authors

190

Institutions

Publications per year

2017–2026

26

Authors

395

  1. MA
    Miguel A. García‐Pérez

    Universidad Complutense de Madrid, Spain

    6 publications · 216 citations

    6

    h-index

  2. DM
    David M. Green

    McGill University, Canada

    5 publications · 170 citations

    5

    h-index

  3. JA
    Joshua A. Solomon

    City, University of London, United Kingdom

    4 publications · 201 citations

    4

    h-index

  4. RA
    Rocío Alcalá‐Quintana

    Universidad Complutense de Madrid, Spain

    4 publications · 122 citations

    4

    h-index

  5. RD
    R. Duncan Luce

    University of California, Irvine, United States

    3 publications · 173 citations

    3

    h-index

1–5 of 395

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 26 publications · 1.2K citations

    20

    h-index

  2. Journal of Vision

    14 publications · 753 citations

    13

    h-index

  3. Perception & Psychophysics

    9 publications · 3.1K citations

    9

    h-index

  4. Vision Research

    7 publications · 845 citations

    7

    h-index

  5. Psychological Review

    6 publications · 361 citations

    6

    h-index

1–5