Estimation of finite population mean using random non-response in survey sampling

M. S. Ahmed, Omar Al-Titi, Ziad Al-Rawi, Walid Abu-Dayyeh

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper proposes some general estimators for finite population mean in presence of random non-response using an auxiliary variable. All possible non-response cases are considered here. The properties of these estimators are studied. Finally, a simulation study has been done to compare their performance.

Original languageEnglish
Title of host publicationNew Developments in Applied Statistics
PublisherNova Science Publishers, Inc.
Pages1-13
Number of pages13
ISBN (Print)9781613246481
Publication statusPublished - Feb 2012

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estimators
sampling
simulation

Keywords

  • Randomized response
  • Ratio and regression estimators
  • Sample without replacement
  • Simple random

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Ahmed, M. S., Al-Titi, O., Al-Rawi, Z., & Abu-Dayyeh, W. (2012). Estimation of finite population mean using random non-response in survey sampling. In New Developments in Applied Statistics (pp. 1-13). Nova Science Publishers, Inc..

Estimation of finite population mean using random non-response in survey sampling. / Ahmed, M. S.; Al-Titi, Omar; Al-Rawi, Ziad; Abu-Dayyeh, Walid.

New Developments in Applied Statistics. Nova Science Publishers, Inc., 2012. p. 1-13.

Research output: Chapter in Book/Report/Conference proceedingChapter

Ahmed, MS, Al-Titi, O, Al-Rawi, Z & Abu-Dayyeh, W 2012, Estimation of finite population mean using random non-response in survey sampling. in New Developments in Applied Statistics. Nova Science Publishers, Inc., pp. 1-13.
Ahmed MS, Al-Titi O, Al-Rawi Z, Abu-Dayyeh W. Estimation of finite population mean using random non-response in survey sampling. In New Developments in Applied Statistics. Nova Science Publishers, Inc. 2012. p. 1-13
Ahmed, M. S. ; Al-Titi, Omar ; Al-Rawi, Ziad ; Abu-Dayyeh, Walid. / Estimation of finite population mean using random non-response in survey sampling. New Developments in Applied Statistics. Nova Science Publishers, Inc., 2012. pp. 1-13
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