normal (truncated)

Distribution normal(1, 0) is stretched by stretch coefficient, then shifted to the right by shift. After that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.

For more details see normal().

normal(double min, double max, double shift, double stretch)

Description

Generates a sample of the truncated Normal distribution.

Parameters

Name

Type

Description

min

double

The minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".

max

double

The maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".

shift

double

The shift parameter that indicates how much the (stretched) distribution will be shifted to the right = mean value.

stretch

double

The stretch parameter that indicates how much the distribution will be stretched = standard deviation.

Result

Type

Description

double

The generated sample.


normal(double min, double max, double shift, double stretch, java.util.Random r)

Description

Generates a sample of the truncated Normal distribution using the specified random number generator.

Parameters

Name

Type

Description

min

double

The minimum x value.

max

double

The maximum x value.

shift

double

The shift parameter = mean value.

stretch

double

The stretch parameter = standard deviation.

r

java.util.Random

The random number generator.

Result

Type

Description

double

The generated sample.

This document includes content from the Stat::Fit User's Manual. Copyright 2016 Geer Mountain Software Corp.