Estimation of population mean under probability proportional to size sampling with and without measurement errors-Reference-Cited by-同舟云学术

Estimation of population mean under probability proportional to size sampling with and without measurement errors

Published:2022-04-17 Issue:18 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Sinha Raghaw Raman¹^ORCID,Khanna Bharti¹

Affiliation:

1. Dr. B. R. Ambedkar National Institute of Technology Jalandhar India

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.7023

Reference31 articles.

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2. A REGRESSION- TYPE ESTIMATOR IN SAMPLING WITH PPS AND WITH REPLACEMENT

3. An alternative estimator for the population mean in pps sampling;Anita XX;Int J Sci Res,2013

4. Estimation of finite population total under pps$$ \mathrm{pps} $$ sampling in presence of extra auxiliary information;Patel PA;Int J Stat Anal,2016

5. Use of extreme values to estimate finite population mean under pps sampling scheme;Ahmad S;J Rel Stat Stud,2018

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1. Estimation of finite population mean using double sampling under probability proportional to size sampling in the presence of extreme values;Heliyon;2023-11

2. New generalized class of estimators for estimation of finite population mean based on probability proportional to size sampling using two auxiliary variables: A simulation study;Science Progress;2023-10