Description Usage Arguments Details Value References See Also Examples
The Mrss
function samples from a target population by using modified ranked set sampling methods. Ranking procedure of X is done by using the concomitant variable Y.
1 |
X |
A vector of target population |
Y |
A vector of concomitant variable from target population |
m |
Size of units in each set |
r |
Number of cycles. (By default = 1) |
type |
type of the modified RSS method. "r" for traditional RSS, "p" for Percentile RSS, "m" for Median RSS, "bg" for Balanced Groups RSS, "e" for Extreme RSS. (By default = "r") |
sets |
logical; if TRUE, ranked set samples are given with ranked sets (see |
concomitant |
logical; if TRUE, ranked set sample of concomitant variable is given |
p |
Value of percentile for Percentile RSS method |
X and Y must be vectors and also they should be in same length. Value of percentile (p) must be between 0 and 1.
corr.coef |
the correlation coefficient between X and Y |
var.of.interest |
the sets of X, which are ranked by Y |
concomitant.var. |
the ranked sets of Y |
sample.x |
the obtained ranked set sample of X |
sample.y |
the obtained ranked set sample of Y |
McIntyre, G. A. (1952). A method for unbiased selective sampling, using ranked sets. Australian Journal of Agricultural Research, 3(4), 385-390.
Samawi, H. M., Ahmed, M. S., & Abu-Dayyeh, W. (1996). Estimating the population mean using extreme ranked set sampling. Biometrical Journal, 38(5), 577-586.
Muttlak, H. A. (1997). Median ranked set sampling. Journal of Applied Statistical Sciences, 6(4), 245-255.
Muttlak, H. A. (2003). Modified ranked set sampling methods. Pakistan Journal Of Statistics, 19(3), 315-324.
Jemain, A. A., Al-Omari, A., & Ibrahim, K. (2008). Some variations of ranked set sampling. Electronic Journal of Applied Statistical Analysis, 1(1), 1-15.
1 2 3 4 5 6 7 8 9 10 11 12 13 | library("LearnBayes")
mu=c(1,12,2)
Sigma <- matrix(c(1,2,0,2,5,0.5,0,0.5,3), 3, 3)
x <- rmnorm(10000, mu, Sigma)
xx=as.numeric(x[,1])
xy=as.numeric(x[,3])
## Selecting modified ranked set samples
con.Mrss(xx, xy, m=5, r=3, type="r", concomitant=TRUE, sets=TRUE)
con.Mrss(xx, xy, m=4, r=7, type="m", concomitant=TRUE, sets=TRUE)
con.Mrss(xx, xy, m=5, r=2, type="e", concomitant=TRUE, sets=TRUE)
con.Mrss(xx, xy, m=8, r=3, type="p", concomitant=TRUE, sets=TRUE, p=0.25)
con.Mrss(xx, xy, m=6, r=5, type="bg", concomitant=TRUE, sets=TRUE)
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