A finite population quantile estimation by unequal probability sampling

Authors

Arijit Chaudhuri, Indian Statistical Institute, Kolkata
Purnima Shaw, Bank of India

Article Type

Research Article

Publication Title

Communications in Statistics - Theory and Methods

Abstract

Using a model-assisted approach, this paper studies asymptotically design-unbiased (ADU) estimation of a population “distribution function” and extends to deriving an asymptotic and approximate unbiased estimator for a population quantile from a sample chosen with varying probabilities. The respective asymptotic standard errors and confidence intervals are then worked out. Numerical findings based on an actual data support the theory with efficient results.

First Page

5419

Last Page

5426

DOI

10.1080/03610926.2019.1618475

Publication Date

11-16-2020

Recommended Citation

Chaudhuri, Arijit and Shaw, Purnima, "A finite population quantile estimation by unequal probability sampling" (2020). Journal Articles. 62.
https://digitalcommons.isical.ac.in/journal-articles/62