The distribution normal(1, 0) is stretched by the stretch coefficient, then shifted to the right by shift. After that, it is truncated to fit into the[min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details, see normal().
- Description
- Generates a sample of the truncated normal distribution.
- Parameters
Name Type of value 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.
- Description
- Generates a sample of the truncated normal distribution using the specified random number generator.
- Parameters
Name Type of value 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.
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