Publication:

Parametric modeling of reaction time experiment data

Date

Date

Date
2003
Journal Article
Published version

Citations

Citation copied

Braun, W. J., Rousson, V., Simpson, W. A., & Prokop, J. (2003). Parametric modeling of reaction time experiment data. Biometrics, 59(3), 661–669. https://doi.org/10.1111/1541-0420.00076

Abstract

Abstract

Abstract

A simple parametric model is proposed for data from a point-process version of a reaction time experiment. It is used to statistically check for the presence and nature of nonlinear inhibition in the eye-brain-hand system, as well as to study the nature of the reaction time delay distribution. The model tells us that, in principle, the second-order intensity estimate can be used to determine whether the experimental subject is systematically observing the first or the second of two flashes transmitted in short succession. Nonparametri

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1 since deposited on 2010-07-13
Acq. date: 2025-11-14

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Creators (Authors)

  • Braun, W J
    affiliation.icon.alt
  • Rousson, V
    affiliation.icon.alt
  • Simpson, W A
    affiliation.icon.alt
  • Prokop, J
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
59

Number

Number

Number
3

Page range/Item number

Page range/Item number

Page range/Item number
661

Page end

Page end

Page end
669

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2003

Date available

Date available

Date available
2010-07-13

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0006-341X

OA Status

OA Status

OA Status
Closed

PubMed ID

PubMed ID

PubMed ID

Metrics

Views

1 since deposited on 2010-07-13
Acq. date: 2025-11-14

Citations

Citation copied

Braun, W. J., Rousson, V., Simpson, W. A., & Prokop, J. (2003). Parametric modeling of reaction time experiment data. Biometrics, 59(3), 661–669. https://doi.org/10.1111/1541-0420.00076

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