PredictionR (version 1.0-12)

predmix: Prediction point and interval for mixture exponential distribution

Description

Construct a prediction point (Predicted point) and a prediction interval (PI) for mixture exponential distribution. Generic method is print.

Usage

predmix(data, s, n, parameters,  conf=0.95)
# S3 method for predmix
print(x, …)

Arguments

data

A numeric vector

s

A numeric vector for the order of the next observation. The length of this vector must be equal to 1.

n

A numeric vector for the size of all data.

parameters

A numeric vector for the parameters of the distribuion of the data.

conf

Confidence level for the test.

x

An object of class "predmix".

…

Further argument to be passed to generic function

Value

predmix returns an object of class "predmix", a list with the following components:

point

the predicted point.

interval

the prediction interval.

lower

the lower bound of the interval.

upper

the upper bound of the interval.

Generic function:

print

The print of a "predmix" object shows few traces about the predicted point and interval.

Details

The parameters argument is assumed to specify the parameters for mixture of two exponential distributions by the mixing proportion, rate1 and rate2.

References

H. M. Barakat, O. M. Khaled, Hadeer A. Ghonem (2020), predicting future lifetime for mixture exponential distribution. Comm. Statist.- Sim. and Comp., DOI: 10.1080/03610918.2020.1715434.

See Also

predI.

Examples

# NOT RUN {
#  prediction for the next observation
#
set.seed(123)
library(Renext)
x<-sort(rmixexp2(30, 0.6, 2, 8))
predmix(x[1:25], 26, 30, c(0.6,2,8))
predmix(x[1:25], 29, 30, c(0.6,2,8))

# }