FcnsByCatPredInts: EnvStats Functions for Prediction Intervals

Description

The EnvStats functions listed below are useful for computing prediction intervals and simultaneous prediction intervals. See Power and Sample Size for a list of functions useful for computing power and sample size for a design based on a prediction interval width, or a design based on a hypothesis test for future observations falling outside of a prediciton interval.

Arguments

Details

Function Name	Description
`predIntGamma`,	Prediction interval for the next \(k\)
`predIntGammaAlt`	observations or next set of \(k\) means for a
	Gamma distribution.
`predIntGammaSimultaneous`,	Construct a simultaneous prediction interval for the
`predIntGammaAltSimultaneous`	next \(r\) sampling occasions based on a
	Gamma distribution.

`predIntLnorm`,	Prediction interval for the next \(k\)
`predIntLnormAlt`	observations or geometric means from a
	Lognormal distribution.
`predIntLnormSimultaneous`,	Construct a simultaneous prediction interval for the
`predIntLnormAltSimultaneous`	next \(r\) sampling occasions based on a
	Lognormal distribution.

`predIntNorm`	Prediction interval for the next \(k\) observations
	or means from a Normal (Gaussian) distribution.
`predIntNormK`	Compute the value of \(K\) for a prediction interval
	for a Normal distribution.
`predIntNormSimultaneous`	Construct a simultaneous prediction interval for the
	next \(r\) sampling occasions based on a
	Normal distribution.
`predIntNormSimultaneousK`	Compute the value of \(K\) for a simultaneous
	prediction interval for the next \(r\) sampling
	occasions based on a Normal distribution.

`predIntNpar`	Nonparametric prediction interval for the next \(k\)
	of \(K\) observations.
`predIntNparSimultaneous`	Construct a nonparametric simultaneous prediction
	interval for the next \(r\) sampling occasions.

`predIntPois`	Prediction interval for the next \(k\) observations
	or sums from a Poisson distribution.