We have proposed a general method for estimating confidence intervals for finite population quantiles using multivariate auxiliary information. This method provides better performance over the method of Rueda and Arcos (1998). Asimulation study is carried out for a real data set to make a relative comparison between these two methods. It observes that the proposed estimator is improved over Rueda and Arcos (1998).
|Number of pages||10|
|Publication status||Published - 2002|
- Confidence interval
- Multivariate ratio estimation
- Quantiles estimation
ASJC Scopus subject areas
- Statistics and Probability