Pearson chi-squared statistic for uniformity on [0, 1]. Compares the empirical bin counts against the uniform expectation total / numBins and sums (observed - expected)^2 / expected over all numBins bins.

pitKsDistance

fun SparseHistogramResult.pitKsDistance(numBins: Int): Double

Kolmogorov-Smirnov statistic against the uniform distribution on [0, 1]. Walks every bin (including empty ones) and returns the supremum of |empCdf(x) - x| evaluated at bin upper boundaries.

SparseHistogramResult

constructor(lowerBounds: DoubleArray, upperBounds: DoubleArray, weights: DoubleArray)(source)

lowerBounds

val lowerBounds: DoubleArray(source)

Inclusive lower bound of each bucket; parallel to upperBounds and weights.

upperBounds

val upperBounds: DoubleArray(source)

Exclusive upper bound of each bucket; parallel to lowerBounds and weights.

weights

val weights: DoubleArray(source)

Observed weight per bucket; parallel to lowerBounds / upperBounds.