Estimation of Population Mean in the Presence of Missing Data Under Stratified Random Sampling

Authors

  • Muhammad Drybati Tishreen University
  • Mounzer Boubou Tishreen University
  • Hadil Darwish Tishreen University

Abstract

This paper aims to propose a new estimator of the population mean in stratified random sampling with missing data. The missing values studied by the paper are measurement errors and non-response errors together and at the same time. To study the effectiveness of the proposed estimator, the results obtained from this estimator were compared with several previous estimates that were previously mentioned in scientific studies. The results were compared between the different estimates on both generated and real data, and the bias error and mean squares of error were compared for each of them.

Author Biographies

Muhammad Drybati, Tishreen University

Associate Professor, Department of Statistics,

Mounzer Boubou, Tishreen University

Associate Professor, Department of Measurement and Evaluation

Hadil Darwish, Tishreen University

Ph.D Student, Department of Statistics

Downloads

Published

2021-07-07

How to Cite

1.
دريباتي م, بوبو م, درويش ه. Estimation of Population Mean in the Presence of Missing Data Under Stratified Random Sampling. TUJ-BA [Internet]. 2021Jul.7 [cited 2024Dec.26];43(3). Available from: https://journal.tishreen.edu.sy/index.php/bassnc/article/view/10644

Issue

Vol. 43 No. 3 (2021): Tishreen University Journal of Research and Scientific Studies - Basic Sciences Series

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The authors retain the copyright and grant the right to publish in the magazine for the first time with the transfer of the commercial right to the Tishreen University Journal -Basic Sciences Series  

 Under a CC BY- NC-SA 04 license that allows others to share the work with of the work's authorship and initial publication in this journal. Authors can use a copy of their articles in their scientific activity, and on their scientific websites, provided that the place of publication is indicted in Tishreen University Journal -Basic Sciences Series .  The Readers have the right to send, print and subscribe to the initial version of the article, and the title of Tishreen University Journal -Basic Sciences Series   Publisher

 

journal uses a CC BY-NC-SA license which mean

You are free to:

  • Adapt — remix, transform, and build upon the material
  •  
  • The licensor cannot revoke these freedoms as long as you follow the license terms.

 

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial — You may not use the material for commercial purposes.
  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.