Published

2023-01-01

An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS

Un estimador mejorado de varianza de población finita utilizando dos atributos auxiliares en SRS

DOI:

https://doi.org/10.15446/rce.v46n1.104427

Keywords:

Simple random sampling, Variance estimation, Study variable, Auxiliary variable, Bias, Mean square error (en)
Muestreo aleatorio simple, Estimación de la varianza, Variable de estudio, Variable auxiliar, Sesgo, Error cuadrático medio (es)

Downloads

Authors

  • Sunil Kumar University of Jammu
  • Monica Choudhary University of Jammu

 In the present study, we explore the problem of estimation of finite population variance in simple random sampling (without replacement) by utilizing information of two auxiliary variables. A ratio cum exponential estimator has been proposed and its properties are studied to the first degree of approximation. To demonstrate the efficiency, members of the proposed estimator as well as other existing estimators are compared to the usual unbiased estimator. To study the performance, a simulation study is undertaken for both real and artificial population using R software. The suggested estimator is found to be more efficient than other existing estimators in terms of having minimum MSE.

En el presente estudio, exploramos el problema de la estimación de la varianza de una población finita en un muestreo aleatorio simple (sin reemplazo) utilizando la información de dos variables auxiliares. Se ha propuesto un estimador de razón cum exponencial y se estudian sus propiedades hasta el primer grado de aproximación. Para demostrar la eficiencia, los miembros del estimador propuesto, así como otros estimadores existentes, se comparan con el estimador insesgado habitual. Usando el software R, se lleva a cabo un análisis de simulación para respaldar las conclusiones teóricas. Se determina que el estimador sugerido es más eficiente que otros estimadores existentes según el análisis del estudio de simulación.

References

Bahl, S. & Tuteja, R. (1991), Ratio and product-type exponential estimators', Journal of Information and Optimization Sciences 12(1), 159-164. DOI: https://doi.org/10.1080/02522667.1991.10699058

Bhushan, S., Kumar, A. & Kumar, S. (2021), Effecicient classes of estimators for population variance using attribute', International Journal of Mathematics in Operation Research 22(1), 74-92. DOI: https://doi.org/10.1504/IJMOR.2022.123124

Bhushan, S., Kumar, A., Kumar, S. & Singh, S. (2022), Some modified classes of estimators for population variance using auxiliary attribute', Pakistan Journal of Statistics 38(2), 235-252.

Bhushan, S., Kumar, A., Singh, S. & Kumar, S. (2021), An improved class of estimators of population mean under simple random sampling', Philippine Statist 70(1), 33-47. DOI: https://doi.org/10.2174/9789811490491120010007

Das, A. K. (1988), Contributions to the theory of sampling strategies based on auxiliary information, Ph.D thesis submitted to BCKV, Mohanpur, Nadia, and West Bengal, India.

Gupta, S. & Shabbir, J. (2008), Variance estimation in simple random sampling using auxiliary information', Hacettepe Journal of Mathematics and Statistics 37(1), 57-67.

Isaki, C. T. (1983), Variance estimation using auxiliary information', Journal of the American statistical association 78(381), 117-123. DOI: https://doi.org/10.1080/01621459.1983.10477939

Kadilar, C. & Cingi, H. (2006), Ratio estimators for the population variance in simple and stratified random sampling', Applied Mathematics and Computation 173(2), 1047-1059. DOI: https://doi.org/10.1016/j.amc.2005.04.032

Murthy, M. N. (1967), Sampling Theory and Methods, Statistical Publishing Society, Barrackpore.

Shabbir, J., Gupta, S. & Masood, S. (2022), An improved general class of estimators for finite population mean in simple random sampling', Communications in Statistics-Theory and Methods 51(11), 3508-3520. DOI: https://doi.org/10.1080/03610926.2020.1797802

Singh, H. P., Singh, A. K. & Solanki, R. S. (2014), Estimation of finite population variance using auxiliary information in sample surveys', Statistica 74(1), 99-116.

Singh, R., Chauhan, P., Sawan, N. & Smarandache, F. (2011), Improvide exponential estimator for population variance using two auxiliary variables', Italian Journal of Pure and Applied Mathematics 28, 101-108.

Subramani, J. & Kumarapandiyan, G. (2012), Variance estimation using quartiles and their functions of an auxiliary variable', International Journal of Statistics and Applications 2(5), 67-72. DOI: https://doi.org/10.5923/j.statistics.20120205.04

Subramani, J. & Kumarapandiyan, G. (2013), Estimation of variance using known coecient of variation and median of an auxiliary variable', Journal of Modern Applied Statistical Methods 12(1), 58-64. DOI: https://doi.org/10.22237/jmasm/1367381400

Yadav, S. & Kadilar, C. (2013), A class of ratio-cum-dual to ratio estimator of population variance', Journal of Reliability and Statistical Studies 6(1), 29-34. DOI: https://doi.org/10.15415/mjis.2013.12016

Yasmeen, U., Noor-ul Amin, M. & Hanif, M. (2019), Exponential estimators of finite population variance using transformed auxiliary variables', Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 89, 185-191. DOI: https://doi.org/10.1007/s40010-017-0410-5

How to Cite

APA

Kumar, S. and Choudhary, M. (2023). An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS. Revista Colombiana de Estadística, 46(1), 81–91. https://doi.org/10.15446/rce.v46n1.104427

ACM

[1]
Kumar, S. and Choudhary, M. 2023. An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS. Revista Colombiana de Estadística. 46, 1 (Jan. 2023), 81–91. DOI:https://doi.org/10.15446/rce.v46n1.104427.

ACS

(1)
Kumar, S.; Choudhary, M. An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS. Rev. colomb. estad. 2023, 46, 81-91.

ABNT

KUMAR, S.; CHOUDHARY, M. An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS. Revista Colombiana de Estadística, [S. l.], v. 46, n. 1, p. 81–91, 2023. DOI: 10.15446/rce.v46n1.104427. Disponível em: https://revistas.unal.edu.co/index.php/estad/article/view/104427. Acesso em: 28 mar. 2025.

Chicago

Kumar, Sunil, and Monica Choudhary. 2023. “An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS”. Revista Colombiana De Estadística 46 (1):81-91. https://doi.org/10.15446/rce.v46n1.104427.

Harvard

Kumar, S. and Choudhary, M. (2023) “An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS”, Revista Colombiana de Estadística, 46(1), pp. 81–91. doi: 10.15446/rce.v46n1.104427.

IEEE

[1]
S. Kumar and M. Choudhary, “An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS”, Rev. colomb. estad., vol. 46, no. 1, pp. 81–91, Jan. 2023.

MLA

Kumar, S., and M. Choudhary. “An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS”. Revista Colombiana de Estadística, vol. 46, no. 1, Jan. 2023, pp. 81-91, doi:10.15446/rce.v46n1.104427.

Turabian

Kumar, Sunil, and Monica Choudhary. “An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS”. Revista Colombiana de Estadística 46, no. 1 (January 18, 2023): 81–91. Accessed March 28, 2025. https://revistas.unal.edu.co/index.php/estad/article/view/104427.

Vancouver

1.
Kumar S, Choudhary M. An Improved Estimator of finite Population Variance Using two Auxiliary Variable SRS. Rev. colomb. estad. [Internet]. 2023 Jan. 18 [cited 2025 Mar. 28];46(1):81-9. Available from: https://revistas.unal.edu.co/index.php/estad/article/view/104427

Download Citation

CrossRef Cited-by

CrossRef citations3

1. Sohaib Ahmad, Aned Al Mutairi, Said G. Nassr, Hassan Alsuhabi, Mustafa Kamal, Masood Ur Rehman. (2023). A new approach for estimating variance of a population employing information obtained from a stratified random sampling. Heliyon, 9(11), p.e21477. https://doi.org/10.1016/j.heliyon.2023.e21477.

2. Mohammed Ahmed Alomair, Syed Aflake Hussain Shah Gardazi. (2024). Hybrid class of robust type estimators for variance estimation using mean and variance of auxiliary variable. Heliyon, 10(10), p.e31039. https://doi.org/10.1016/j.heliyon.2024.e31039.

3. Housila P. Singh, Diksha Arya, Subhash Kumar Yadav. (2023). Optimal Strategy for Improved Estimation of Population Variance Using Known Auxiliary Parameters. International Journal of Applied and Computational Mathematics, 9(5) https://doi.org/10.1007/s40819-023-01559-7.

Dimensions

PlumX

  • Citations
  • Scopus - Citation Indexes: 4
  • Captures
  • Mendeley - Readers: 2

Article abstract page views

457

Downloads