Estimation of finite population mean of a sensitive variable using three-stage optional RRT in the presence of non-response and measurement errors-Reference-Cited by-同舟云学术

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Estimation of finite population mean of a sensitive variable using three-stage optional RRT in the presence of non-response and measurement errors

Published:2024-06-04 Issue: Volume: Page:1-16
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Onyango Ronald¹,Mohd Khalid²,Shabbir Javid³^ORCID,Apima Samuel B.⁴,Wanjara Amos⁴

Affiliation:

1. Department of Applied Statistics, Financial Mathematics and Actuarial Science, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya

2. Department of Statistics & Operations Research (Women’s College Statistics Section), Aligarh Muslim University, Aligarh, Dhanbad, India

3. Department of Statistics, University of Wah, Islamabad, Pakistan

4. Department of Mathematics and Statistics, Kaimosi Friends University, Kaimosi, Kenya

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2024.2361290

Reference33 articles.

1. Cochran W. Sampling technique. 3rd ed. New York (NY): John Wiley and Sons; 1977.

2. Memory type ratio and product estimators for population mean for time-based surveys

3. Memory type estimators of population mean using exponentially weighted moving averages for time scaled surveys

4. Generalized memory-type estimators for time-based surveys: simulation experience and empirical results with birth weight dataset;Kumar S;Life Cycle Reliability and Safety Eng,2024

5. Evaluating the performance of memory type logarithmic estimators using simple random sampling

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