Terminologies: DifferenceMeasure library
Related schema specification: DifferenceMeasure
chiSquaredStatistic
metadata sheet
- @context:
@vocab: <https://openminds.ebrains.eu/vocab/>
- @id:
https://openminds.ebrains.eu/instances/differenceMeasure/chiSquaredStatistic
- @type:
https://openminds.ebrains.eu/controlledTerms/DifferenceMeasure
- definition:
Test statistic resulting from a chi-squared test.
- name:
chi-squared statistic
kolmogorovSmirnovStatistic
metadata sheet
- @context:
@vocab: <https://openminds.ebrains.eu/vocab/>
- @id:
https://openminds.ebrains.eu/instances/differenceMeasure/kolmogorovSmirnovStatistic
- @type:
https://openminds.ebrains.eu/controlledTerms/DifferenceMeasure
- definition:
Quantification of a distance between the empirical distribution function of the sample and the cumulative distribution function of the reference distribution, or between the empirical distribution functions of two samples.
- name:
Kolmogorov-Smirnov statistic
kullbackLeiblerDivergence
metadata sheet
- @context:
@vocab: <https://openminds.ebrains.eu/vocab/>
- @id:
https://openminds.ebrains.eu/instances/differenceMeasure/kullbackLeiblerDivergence
- @type:
https://openminds.ebrains.eu/controlledTerms/DifferenceMeasure
- definition:
A measure of how one probability distribution is different from a second, reference probability distribution.
- name:
Kullback-Leibler divergence
meanSquaredError
metadata sheet
- @context:
@vocab: <https://openminds.ebrains.eu/vocab/>
- @id:
https://openminds.ebrains.eu/instances/differenceMeasure/meanSquaredError
- @type:
https://openminds.ebrains.eu/controlledTerms/DifferenceMeasure
- definition:
The mean squared difference between two series of values.
- name:
mean squared error
t_statistic
metadata sheet
- @context:
@vocab: <https://openminds.ebrains.eu/vocab/>
- @id:
https://openminds.ebrains.eu/instances/differenceMeasure/t_statistic
- @type:
https://openminds.ebrains.eu/controlledTerms/DifferenceMeasure
- definition:
The ratio of the departure of the estimated value of a parameter from its hypothesized value to its standard error.
- name:
t-statistic
z_score
metadata sheet
- @context:
@vocab: <https://openminds.ebrains.eu/vocab/>
- @id:
https://openminds.ebrains.eu/instances/differenceMeasure/z_score
- @type:
https://openminds.ebrains.eu/controlledTerms/DifferenceMeasure
- definition:
The number of standard deviations by which an observed value is above or below the mean value.
- name:
z-score