imperfectMRSS {RSStest}

Imperfect Median Ranked Set Sampling Data Generation from Finite Population

Description

This function chooses Median Ranked Set samples from specific finite population using auxiliary variable with cycle sizes r1 and r2 and set sizes m1 and m2.

Usage

imperfectMRSS(df, cat, catname, aux, var, r1, r2, m1, m2)

Arguments

df

: dataframe of the finite population

cat

: the indicator variable that shows the group of units

catname

: the group names

aux

: auxilary variable

var

: variable of interest

r1

: Cycle size of first group

r2

: Cycle size of second group

m1

: Set size of first group

m2

: Set size of second group

Value

two median ranked set sample matrix with sizes r1xm1 and r2xm2 from finite population. Each row indicates a cycle.

References

MacEachern, S. N., Öztürk, Ö., Wolfe, A. D. (2002). A new ranked set sample estimator of variance. Journal of the Royal Statistical Society: Series B., 64, Part 2 177–188.

Özturk, Ö., Balakrishnan N (2009) Exact two-sample nonparametric test for quantile difference between two populations based on ranked set samples. Ann Inst Stat Math 61(1):235–249

Özdemir, Y. A., Ebegil, M., & Gökpinar, F. (2017). A test statistic based on ranked set sampling for two normal means. Communications in Statistics-Simulation and Computation, 46(10), 8077-8085.

Özdemir, Y. A., Ebegil, M., & Gökpinar, F. (2019). A test statistic for two normal means with median ranked set sampling. Iranian Journal of Science and Technology, Transactions A: Science, 43(3), 1109-1126.

See Also

datagen_RSS, teststat_RSS teststat_MRSS,imperfectRSS

Examples

data(otolith)
imperfectMRSS(otolith,"sex",c("F","M"),"fish.length","age",3,3,4,3)