On enhanced estimation and monitoring of population variance using robust auxiliary parameters based estimators-Reference-Cited by-同舟云学术

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On enhanced estimation and monitoring of population variance using robust auxiliary parameters based estimators

Published:2022-08-19 Issue:24 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Yadav Subhash Kumar¹,Ahmad Shabbir²^ORCID,Riaz Muhammad³^ORCID

Affiliation:

1. Department of Statistics Babasaheb Bhimrao Ambedkar University Lucknow India

2. Department of Mathematics COMSATS University Islamabad Wah Cantt Campus Pakistan

3. Department of Mathematics and Statistics King Fahad University of Petroleum and Minerals Dhahran Saudi Arabia

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.7221

Reference50 articles.

1. Improved ratio‐type estimators of finite population variance using quartiles;Solanki R;Hacet J Math Stat,2015

2. On enhanced estimation of population variance using unconventional measures of an auxiliary variable

3. Variance Estimation Using Auxiliary Information

4. Estimation of finite population variance;Singh HP;Curr Sci,1988

5. Unbiased ratio-type variance estimation

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1. A novel adaptive CUSUM system for efficient process mean monitoring: An application in piston ring manufacturing process;Alexandria Engineering Journal;2024-11

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