p_rsize_Weibull: Weibull size biased c.d.f. of order r.
In RSizeBiased: Hypothesis Testing Based on R-Size Biased Samples

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/p_rsize_Weibull.R

Calculates the cumulative distribution of the r-size biased Weibull distribution.

1	p_rsize_Weibull(q,TRpar,r)

`q`	Points where the functional is being calculated.
`TRpar`	A vector of length 2, containing the shape and scale parameters of the distribution.
`r`	The size (order) of the distribution. The special cases r=1,2,3 correspond to length, area, volume biased samples respectively and are the most frequently encountered in practice. The case r=0 corresponds to random samples from the Weibull distribution.

The r-size c.d.f. of the Weibull density is defined by

F_r(y; θ)=\int_{0}^{y} \frac{x^r f(x; θ)}{E(X^r)} \,dx

where θ is a bivariate vector with the the shape and scale of the Weibull distribution.

A vector of length equal to the lemgth of x.

Polychronis Economou

R implementation and documentation: Polychronis Economou <peconom@upatras.gr>

Economou et. al. (2021). Hypothesis testing for the population mean and variance based on r-size biased samples, under review.

d_rsize_Weibull, r_rsize_Weibull

# c.d.f of the r-size Weibull distribution, r=0,1,2 evalutated at a specific point x.
x<- 2
dist.0.size<-p_rsize_Weibull(x,c(2,3),0)
dist.1.size<-p_rsize_Weibull(x,c(2,3),1)
dist.2.size<-p_rsize_Weibull(x,c(2,3),2)