Modified unbiased estimators for population variance: An application for COVID‐19 deaths in Russia-Reference-Cited by-同舟云学术

Modified unbiased estimators for population variance: An application for COVID‐19 deaths in Russia

Published:2022-07-13 Issue:22 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Oncel Cekim Hatice¹^ORCID

Affiliation:

1. Department of Statistics Hacettepe University Ankara Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7169

Reference17 articles.

1. Analysis and Estimation of COVID-19 Spreading in Russia Based on ARIMA Model

2. Climatic factors influence the spread of COVID-19 in Russia

3. A new exponential estimators for analysis of COVID‐19 risk;Zaman T;Concurr Comput Pract Exp,2021

4. Utilizing L‐moments and calibration method to estimate the variance based on COVID‐19 data;Shahzad U;Fresenius Environ Bull,2021

5. L‐moments and calibration based variance estimators under double stratified random sampling scheme: an application of COVID‐19 pandemic;Shahzad U;Sci Iran,2021

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1. An Improvement in Estimating the Population Mean Based on Family of Estimators with Different Application Areas;Gazi University Journal of Science Part A: Engineering and Innovation;2023-12-31

2. Applying ORRT for the estimation of population variance of sensitive variable;Communications in Statistics - Simulation and Computation;2023-12-20