KSLCore/ksl.app.dist.result/DispersionAnalysisDTO

DispersionAnalysisDTO

@Serializable

data class DispersionAnalysisDTO(val indexOfDispersion: Double, val poissonVarianceTestStatistic: Double, val degreesOfFreedom: Int, val upperPValue: Double, val lowerPValue: Double, val twoSidedPValue: Double)(source)

Wire-safe, dataset-level dispersion analysis for a discrete data series — the content of the standard report's "Dispersion Analysis" section. The index of dispersion is Var/Mean and the test statistic is T = (n−1)·Var/Mean, referred to a chi-squared distribution with degreesOfFreedom = n−1. The three p-values let a data/AI client read the dispersion conclusion without the chi-squared math.

Computed once from the data statistics via DiscretePMFGoodnessOfFit.poissonDispersionTest. Discrete-only; null on the continuous path.

Constructors

DispersionAnalysisDTO

constructor(indexOfDispersion: Double, poissonVarianceTestStatistic: Double, degreesOfFreedom: Int, upperPValue: Double, lowerPValue: Double, twoSidedPValue: Double)

Properties

degreesOfFreedom

val degreesOfFreedom: Int

indexOfDispersion

val indexOfDispersion: Double

lowerPValue

val lowerPValue: Double

poissonVarianceTestStatistic

val poissonVarianceTestStatistic: Double

twoSidedPValue

val twoSidedPValue: Double

upperPValue

val upperPValue: Double