چكيده لاتين :
Let M; and M; be the maximum and minimum of the
ith sample from k independent sample with different sample sizes,
respectively. Suppose that the survival distribution function of the
ith sample is Fi = FO
; , where Cki is known and positive constant.
It is shown that how various exact non-parametric inferential procedures
can be developed on the basis of Miיs and M; יs for distribution
function F without any assumptions about it other than F is continuous
. These include outer and inner confidence intervals for quantile
intervals and upper and lower confidence limits for quantile differences.
Three schemes have been investigated and in each case, the
associated confidence coefficients are obtained. A numerical example
is given in order to illustrate the proposed procedure.
