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The continuous uniform distribution is constant over the interval \([a,b]\) and is zero elsewhere.
Returns the value at x of the density function of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\). To make use of this function, write first load("distrib")
.
The pdf
and is 0 otherwise.
Returns the value at x of the distribution function of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\). To make use of this function, write first load("distrib")
.
The cdf is
Returns the q-quantile of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\); in other words, this is the inverse of cdf_continuous_uniform
. Argument q must be an element of \([0,1]\). To make use of this function, write first load("distrib")
.
Returns the mean of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\). To make use of this function, write first load("distrib")
.
The mean is
Returns the variance of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\). To make use of this function, write first load("distrib")
.
The variance is
Returns the standard deviation of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\). To make use of this function, write first load("distrib")
.
The standard deviation is
Returns the skewness coefficient of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\). To make use of this function, write first load("distrib")
.
The skewness coefficient is
Returns the kurtosis coefficient of a
\({\it
ContinuousUniform}(a,b)\)
random variable, with \(a<b\). To make use of this function, write first load("distrib")
.
The kurtosis coefficient is
Returns a
\({\it
ContinuousUniform}(a,b)\)
random variate, with \(a<b\). Calling random_continuous_uniform
with a third argument n, a random sample of size n will be simulated.
This is a direct application of the random
built-in Maxima function.
See also random
. To make use of this function, write first load("distrib")
.
Next: Logistic Random Variable, Previous: Beta Random Variable, Up: Functions and Variables for continuous distributions [Contents][Index]