Advances and Applications in Statistics

The Advances and Applications in Statistics is an internationally recognized journal indexed in the Emerging Sources Citation Index (ESCI). It provides a platform for original research papers and survey articles in all areas of statistics, both computational and experimental in nature.

Submit Article

ESTIMATION OF NEUTROSOPHIC POPULATION MEAN UTILIZING TWO AUXILIARY VARIABLES

Authors

  • A. Sabiya Nazrin Banu
  • Sabiya Nazrin Banu A

Keywords:

neutrosophic, ratio estimator, bias, mean squared error

DOI:

https://doi.org/10.17654/0972361726003

Abstract

This article introduces a novel method for estimating the population mean by incorporating two auxiliary variables into the framework of the neutrosophic theory. We have proposed a generalized neutrosophic ratio type estimator for estimating the population mean utilizing two auxiliary information, and the efficiency of the proposed estimator was analyzed through an empirical study. The findings demonstrate that using information from two auxiliary variables improves performance compared to the Simple Random Sampling Without Replacement (SRSWOR) neutrosophic sample mean and standard neutrosophic ratio estimator using one auxiliary variable. Further, we have derived the condition where the proposed estimator performs better than the existing estimators. The process is evaluated using real life medical (neutrosophic) data, where contradictions and inconsistencies in medical information are commonly acknowledged, and the inclusion of indeterminacy is crucial. A simulation study has also been conducted to further validate and enhance the proposed approach.

Received: July 4, 2025
Revised: September 23, 2025
Accepted: November 25, 2025

References

[1] W. A. Abu-Dayyeh, M. S. Ahmed, R. A. Ahmed and H. A. Muttlak, Some estimators of a finite population mean using auxiliary information, Applied Math. Comput. 139 (2003), 287-298. https://doi.org/10.1016/S00963003(02)00180-7.

[2] T. J. Akingbade and F. C. Okafor, A class of ratio-type estimator using two auxiliary variables for estimating the population mean with some known population parameters, Pakistan Journal of Statistics and Operation Research 15 (2019), 329-340. https://doi.org/10.18187/pjsor.v15i2.2558.

[3] M. A. Alqudah, M. Zayed, M. Subzar and S. A. Wani, Neutrosophic robust ratio type estimator for estimating finite population mean, Heliyon 10 (2024), e28934. https://doi.org/10.1016/j.heliyon.2024.e28934.

[4] W. G. Cochran, Sampling techniques, Wiley Series in Probability and Mathematical Statistics, New York, NY, Wiley, 1977.

[5] F. Smarandache and M. Aslam, Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics, Elsevier, 2023.

https://doi.org/10.1016/C2021-0-02227-6.

[6] C. Kadilar and H. Cingi, A new estimator using two auxiliary variables, Appl. Math. Comput. 162 (2005), 901-908. https://doi.org/10.1016/j.amc.2003.12.130.

[7] J. Lu and Z. Yan, A class of ratio estimators of a finite population mean using two auxiliary variables, PLoS ONE 9 (2014), e89538.

https://doi.org/10.1371/journal.pone.0089538.

[8] S. Muneer, J. Shabbir and A. Khalil, Estimation of finite population mean in simple random sampling and stratified random sampling using two auxiliary variables, Comm. Statist. Theory Methods 46 (2017), 2181-2192. https://doi.org/10.1080/03610926.2015.1035394.

[9] I. Olkin, Multivariate ratio estimation for finite populations, Biometrika 45(1-2) (1958), 154-165.

[10] D. Shukla, S. Pathak and N. Singh Thakur, Estimation of population mean using two auxiliary sources in sample surveys, Statistics in Transition New Series 13 (2012), 21-36. https://doi.org/10.59170/stattrans-2012-002.

[11] H. P. Singh and P. Nigam, A generalized class of estimators for finite population mean using two auxiliary variables in sample surveys, Journal of Reliability and Statistical Studies 15 (2022), 61-104.

https://doi.org/10.13052/jrss0974-8024.1514.

[12] P. Singh and S. Gupta, Combining two auxiliary variables for elevated estimation of finite population mean under neutrosophic framework, Neutrosophic Sets and Systems, University of Mexico, 2025.

[13] A. Singh, H. Kulkarni, F. Smarandache and G. Vishwakarma, Computation of separate ratio and regression estimator under neutrosophic stratified sampling: an application to climate data, Journal of Fuzzy Extension and Applications (2024). https://doi.org/10.22105/jfea.2024.422211.1313.

[14] M. P. Singh, Ratio-cum-product method of estimation, Metrika 12 (1967), 34-72.

[15] F. Smarandache, Introduction to Neutrosophic Statistics, Sitech & Education Publishing, 2014. 10.13140/2.1.2780.1289. Source: arXiv.

[16] Z. Tahir, H. Khan, F. S. Alamri and M. Aslam, Neutrosophic ratio-type exponential estimators for estimation of population mean, Journal of Intelligent and Fuzzy Systems (2023), 45. https://doi.org/10.3233/JIFS-223539.

[17] Z. Tahir, H. Khan, M. Aslam, J. Shabbir, Y. Mahmood and F. Smarandache, Neutrosophic ratio-type estimators for estimating the population mean, Complex & Intelligent Systems 7 (2021), 2991-3001.

https://doi.org/10.1007/s40747-021-00439-1.

Published

02-01-2026

Issue

Section

Articles

How to Cite

ESTIMATION OF NEUTROSOPHIC POPULATION MEAN UTILIZING TWO AUXILIARY VARIABLES. (2026). Advances and Applications in Statistics , 93(1), 33-48. https://doi.org/10.17654/0972361726003

Similar Articles

11-20 of 81

You may also start an advanced similarity search for this article.