The uniform distribution is a continuous distribution bounded on both sides, that is, the sample lays in the interval [min, max]. The probability density does not depend on the value of x. It is a special case of the Beta distribution. It is frequently called rectangular distribution (see Johnson et al).
The uniform distribution is used to represent a random variable with constant likelihood of being in any small interval between min and max. Note that the probability of the maximum value is 0; the maximum point never occurs.
- Description
- Generates a random value uniformly distributed on the interval [0,1], the upper bound is not included.
- Result
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Type Description double The generated sample.
- Description
- Generates a random value uniformly distributed on the interval [0,1], using the specified random number generator.
- Parameters
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Name Type Description r java.util.Random The random number generator. - Result
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Type Description double The generated sample.
- Description
- Generates a sample of the uniform distribution on the interval [0, max]. Is equivalent to uniform(0, max). For more details, see uniform(double,double).
- Parameters
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Name Type Description max double The maximum x value. - Result
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Type Description double The generated sample.
- Description
- Generates a sample of the uniform distribution on the interval [min, max].
- Parameters
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Name Type Description min double The minimum x value. max double The maximum x value. - Result
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Type Description double The generated sample.
- Description
- Generates a sample of the uniform distribution on the interval [min, max] using the specified random number generator. For more details, see uniform(double,double).
- Parameters
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Name Type Description min double The minimum x value. max double The maximum x value. r java.util.Random The random number generator. - Result
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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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