KSLCore/ksl.simopt.evaluator/EstimatedResponseIfc/Companion

Companion

object Companion(source)

Functions

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fun compareEstimatedResponses(estimate1: EstimatedResponseIfc, estimate2: EstimatedResponseIfc, level: Double = DEFAULT_CONFIDENCE_LEVEL, indifferenceZone: Double = 0.0): Int

Compares the estimated responses based on the difference between estimate 1 and estimate 2. The interval assumes normally distributed independent samples with unequal variances.

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fun differenceConfidenceInterval(estimate1: EstimatedResponseIfc, estimate2: EstimatedResponseIfc, level: Double = DEFAULT_CONFIDENCE_LEVEL): Interval

Constructs an approximate confidence interval on the difference between estimate 1 and estimate 2. The interval assumes normally distributed independent samples with unequal variances.

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@JvmStatic
fun statisticalSummaries(dataMap: Map<String, DoubleArray>): List<EstimatedResponseIfc>

Computes the statistical summaries for the data within the map