KSLCore/ksl.utilities.distributions.fitting/ContinuousCDFGoodnessOfFit

ContinuousCDFGoodnessOfFit

class ContinuousCDFGoodnessOfFit(data: DoubleArray, val distribution: ContinuousDistributionIfc, val numEstimatedParameters: Int = 1, breakPoints: DoubleArray = suggestBreakPoints(data, distribution)) : DistributionGOF

Constructors

ContinuousCDFGoodnessOfFit

constructor(data: DoubleArray, distribution: ContinuousDistributionIfc, numEstimatedParameters: Int = 1, breakPoints: DoubleArray = suggestBreakPoints(data, distribution))

Types

object Companion

Properties

andersonDarlingPValue

val andersonDarlingPValue: Double

andersonDarlingStatistic

val andersonDarlingStatistic: Double

override val binCounts: DoubleArray

binProbabilities

open override val binProbabilities: DoubleArray

override val breakPoints: DoubleArray

chiSquaredPValue

override val chiSquaredPValue: Double

chiSquaredTestDOF

override val chiSquaredTestDOF: Int

chiSquaredTestStatistic

override val chiSquaredTestStatistic: Double

cramerVonMisesPValue

val cramerVonMisesPValue: Double

cramerVonMisesStatistic

val cramerVonMisesStatistic: Double

val distribution: ContinuousDistributionIfc

open override val expectedCounts: DoubleArray

override val histogram: HistogramIfc

val ksPValue: Double

val ksStatistic: Double

numEstimatedParameters

override val numEstimatedParameters: Int = 1

Functions

chiSquaredTestResults

open fun chiSquaredTestResults(type1Error: Double = 0.05): String

fun gofTestResults(): String

open override fun toString(): String