This function tests for the difference of two population means using ranked set sampling given in Özdemir, Ebegil and Gökpınar (2017).
teststat_RSS(x1, x2, alpha = 0.05, alternative = "two-tailed", table = TRUE)If table is TRUE the hypothesis test results table includes sample sizes, test statistics, critical values and test results are printed out.
A (non-empty) numeric matrix (m1xr1) of ranked set sample for Group 1 with set size m1 and cycle size r1.
A (non-empty) numeric matrix (m2xr2) of ranked set sample for Group 2 with set size m2 and cycle size r2.
A scalar value of the significance level for hypothesis testing used in the table. Default is 0.05.
A character string specifying the alternative hypothesis, must be one of "two-sided", "right" or "left". Can be abbreviated. Default is "two-sided".
A logical value that shows table gives the results of the hypothesis test are printed out. Default is TRUE.
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.
@seealso datagen_MRSS, datagen_RSS, teststat_MRSS
x1=matrix(c(1,2.3, 3.4,4.5,5.6,4 ),nrow=3)
x2=matrix(c(2,3.2, 4.2,6.5,4.6,6 ),nrow=3)
teststat_RSS(x1,x2)
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