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

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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 2024Nov.24];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

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