RSSampling (version 1.0)

Drss: Selecting double (classical or modified) ranked set sample

Description

The Drss function samples from a target population by using multi-stage ranked set sampling methods.

Usage

Drss(X,m,r=1,type="d",sets=FALSE,p)

Arguments

X

A vector of target population

m

Size of units in each set

r

Number of cycles. (By default = 1)

sets

logical; if TRUE, ranked set samples are given with ranked sets (see rankedsets)

type

type of the modified RSS method. "d" for double RSS, "dm" for double median RSS, "dp" for double percentile RSS, "de" for double extreme RSS. (By default = "d")

p

Value of percentile for double percentile RSS method

Value

sets

the ranked sets where ranked set sample is chosen from

sample

the obtained ranked set sample of X

Details

Target population X must be a vector. Value of percentile (p) must be between 0 and 1.

References

Al-Saleh, M. F., & Al-Kadiri, M. A. (2000). Double-ranked set sampling. Statistics & Probability Letters, 48: 205-212.

Samawi, H.M. & Tawalbeh, E.M. (2002). Double median ranked set sampling: Comparison to other double ranked set samples for mean and ratio estimators. Journal of Modern Applied Statistical Methods, 1(2): 428-442.

Samawi, H.M. 2002. On double extreme ranked set sample with application to regression estimator. Metron, LXn1-2: 53-66.

Jemain, A.A. & Al-Omari, A.I. (2006). Double percentile ranked set samples for estimating the population mean. Advances and Applications in Statistics, 6(3): 261-276.

See Also

Mrss, Rrss, con.Mrss, con.Rrss

Examples

# NOT RUN {
 data=rnorm(10000)
 ##Seleceting a double ranked set sample
 Drss(data,m=4,r=3,sets=TRUE)
 ##Seleceting a double median ranked set sample
 Drss(data,m=4,r=3,type="dm",sets=TRUE)
 ##Seleceting a double extreme ranked set sample
 Drss(data,m=4,r=3,type="de",sets=TRUE)
 ##Seleceting a double percentile ranked set sample
 Drss(data,m=4,r=3,type="dm",sets=TRUE,p=0.6)
# }