TY - JOUR
T1 - Confidence interval estimation for the population coefficient of variation using ranked set sampling
T2 - A simulation study
AU - Albatineh, Ahmed N.
AU - Kibria, B. M.Golam
AU - Wilcox, Meredith L.
AU - Zogheib, Bashar
PY - 2014/4
Y1 - 2014/4
N2 - In this paper, an evaluation of the performance of several confidence interval estimators of the population coefficient of variation (τ) using ranked set sampling compared to simple random sampling is performed. Two performance measures are used to assess the confidence intervals for τ, namely: width and coverage probabilities. Simulated data were generated from normal, log-normal, skew normal, Gamma, and Weibull distributions with specified population parameters so that the same values of τ are obtained for each distribution, with sample sizes n=15, 20, 25, 50, 100. A real data example representing birth weight of 189 newborns is used for illustration and performance comparison.
AB - In this paper, an evaluation of the performance of several confidence interval estimators of the population coefficient of variation (τ) using ranked set sampling compared to simple random sampling is performed. Two performance measures are used to assess the confidence intervals for τ, namely: width and coverage probabilities. Simulated data were generated from normal, log-normal, skew normal, Gamma, and Weibull distributions with specified population parameters so that the same values of τ are obtained for each distribution, with sample sizes n=15, 20, 25, 50, 100. A real data example representing birth weight of 189 newborns is used for illustration and performance comparison.
KW - coefficient of variation
KW - confidence interval
KW - coverage probability
KW - ranked set sample
KW - simple random sample
UR - http://www.scopus.com/inward/record.url?scp=84894545995&partnerID=8YFLogxK
U2 - 10.1080/02664763.2013.847405
DO - 10.1080/02664763.2013.847405
M3 - Article
AN - SCOPUS:84894545995
SN - 0266-4763
VL - 41
SP - 733
EP - 751
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
IS - 4
ER -