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

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

Name	Type	Description
r	java.util.Random	The random number generator.

Result

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

Name	Type	Description
max	double	The maximum x value.

Result

Type	Description
double	The generated sample.

Description

Generates a sample of the uniform distribution on the interval [min, max].

Parameters

Name	Type	Description
min	double	The minimum x value.
max	double	The maximum x value.

Result

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

Name	Type	Description
min	double	The minimum x value.
max	double	The maximum x value.
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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