RT - Journal Article
T1 - Distribution Free Confidence Intervals for Quantiles Based on Extreme Order Statistics in a Multi-Sampling Plan
JF - srtc-jsri
YR - 2005
JO - srtc-jsri
VO - 2
IS - 1
UR - http://jsri.srtc.ac.ir/article-1-150-en.html
SP - 39
EP - 52
K1 - Extreme order statistics
K1 - confidence interval
K1 - quantile
K1 - coverage probability
K1 - model
K1 - reversed hazard rate function.
AB - Extended Abstract. Let Xi1 ,..., Xini ,i=1,2,3,....,k be independent random samples from distribution $F^{alpha_i}$، i=1,...,k, where F is an absolutely continuous distribution function and $alpha_i>0$ Also, suppose that these samples are independent. Let Mi,ni and Mchr('39')i,ni respectively, denote the maximum and minimum of the ith sample. Constructing the distribution-free confidence intervals for quantiles of F based on these informations is the aim of this paper. Various cases have been studied and in each case, the exact non-parametric confidence intervals are obtained. First, we concentrate our attention to the maxima of the samples. Coverage probability of a confidence interval based on two different... [To Continue click here]
LA eng
UL http://jsri.srtc.ac.ir/article-1-150-en.html
M3 10.18869/acadpub.jsri.2.1.39
ER -