Published

2024-01-01

Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling

Estimadores directos y sintéticos de tipo logarítmico para la media del dominio mediante muestreo aleatorio simple

DOI:

https://doi.org/10.15446/rce.v47n1.109325

Keywords:

Direct and synthetic estimators, Mean square error, Small area estimation, Simple random sampling (en)
Estimación de área pequeña, Estimadores directos y sintéticos, Error cuadrático medio, Muestreo aleatorio simple (es)

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Authors

  • Shashi Bhushan University of Lucknow image/svg+xml
  • Anoop Kumar Dr. Shakuntala Misra National Rehabilitation University
  • Rohini Pokhrel Dr. Shakuntala Misra National Rehabilitation University image/svg+xml

In this article, we propose logarithmic type direct and synthetic estimators for the estimation of domain mean under simple random sampling. The properties such as bias and mean square error of the proposed direct and synthetic estimators are obtained up to first order approximation. The efficiency conditions are obtained under which the proposed direct and synthetic estimators outperform their conventional counterparts. The performance of the proposed direct and synthetic estimators is examined with the help of comprehensive computational study using real and artificially drawn populations. Some appropriate suggestions are also provided to the surveyors.

En este artículo se proponen estimadores directos y sintéticos de tipo logarítmico para la estimación de la media del dominio bajo muestreo aleatorio simple. Las propiedades como sesgo y error cuadrático medio de los estimadores directos y sintéticos propuestos se obtienen hasta aproximación de primer orden. Se obtienen las condiciones de eficiencia bajo las cuales los estimadores directos y sintéticos propuestos superan a sus contrapartes convencionales. El desempeño de los estimadores directos y sintéticos propuestos se examina con la ayuda de un estudio computacional integral que utiliza poblaciones reales y extraídas artificialmente. Algunas sugerencias apropiadas también se proporcionan a los encuestadores.

References

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Pandey, K.K. & Tikkiwal, G.C. (2010). Generalized class of synthetic estimators for small area under systematic sampling design. Statistics in Transition-new series, Poland, 11(1), 75-89. DOI: https://doi.org/10.59170/stattrans-2010-005

Pandey, K.K. (2007). On Synthetic and Composite Estimators for Small Area Estimation under Lahiri-Midzuno Sampling Scheme. Statistics in Transition-new Series, Poland, 8(1), 111-123.

Sarndal, C.E., Swensson, B., & Wretman, J. (2003). Model assisted survey sampling. Springer Science & Business Media.

Singh, H.P. & Horn, S. (1998). An alternative estimator for multi-character surveys. Metrika, 48, 99-107. DOI: https://doi.org/10.1007/PL00020899

Tikkiwal G.C. & Ghiya. A. (2000). A generalized class of synthetic estimators with application to crop acreage estimation for small domains. Biometrical Journal, 42, 865-876. DOI: https://doi.org/10.1002/1521-4036(200011)42:7<865::AID-BIMJ865>3.0.CO;2-O

Tikkiwal, G.C., Rai, P.K. and Ghiya A. (2013). On the performance of generalized regression estimator for small domains. Communications in Statistics- Simulation and Computation, 42(4), 891-909. DOI: https://doi.org/10.1080/03610918.2012.659823

How to Cite

APA

Bhushan, S., Kumar, A. and Pokhrel, R. (2024). Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling. Revista Colombiana de Estadística, 47(1), 111–133. https://doi.org/10.15446/rce.v47n1.109325

ACM

[1]
Bhushan, S., Kumar, A. and Pokhrel, R. 2024. Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling. Revista Colombiana de Estadística. 47, 1 (Jan. 2024), 111–133. DOI:https://doi.org/10.15446/rce.v47n1.109325.

ACS

(1)
Bhushan, S.; Kumar, A.; Pokhrel, R. Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling. Rev. colomb. estad. 2024, 47, 111-133.

ABNT

BHUSHAN, S.; KUMAR, A.; POKHREL, R. Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling. Revista Colombiana de Estadística, [S. l.], v. 47, n. 1, p. 111–133, 2024. DOI: 10.15446/rce.v47n1.109325. Disponível em: https://revistas.unal.edu.co/index.php/estad/article/view/109325. Acesso em: 28 mar. 2025.

Chicago

Bhushan, Shashi, Anoop Kumar, and Rohini Pokhrel. 2024. “Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling”. Revista Colombiana De Estadística 47 (1):111-33. https://doi.org/10.15446/rce.v47n1.109325.

Harvard

Bhushan, S., Kumar, A. and Pokhrel, R. (2024) “Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling”, Revista Colombiana de Estadística, 47(1), pp. 111–133. doi: 10.15446/rce.v47n1.109325.

IEEE

[1]
S. Bhushan, A. Kumar, and R. Pokhrel, “Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling”, Rev. colomb. estad., vol. 47, no. 1, pp. 111–133, Jan. 2024.

MLA

Bhushan, S., A. Kumar, and R. Pokhrel. “Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling”. Revista Colombiana de Estadística, vol. 47, no. 1, Jan. 2024, pp. 111-33, doi:10.15446/rce.v47n1.109325.

Turabian

Bhushan, Shashi, Anoop Kumar, and Rohini Pokhrel. “Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling”. Revista Colombiana de Estadística 47, no. 1 (January 24, 2024): 111–133. Accessed March 28, 2025. https://revistas.unal.edu.co/index.php/estad/article/view/109325.

Vancouver

1.
Bhushan S, Kumar A, Pokhrel R. Logarithmic Type Direct and Synthetic Estimators for Domain Mean Using Simple Random Sampling. Rev. colomb. estad. [Internet]. 2024 Jan. 24 [cited 2025 Mar. 28];47(1):111-33. Available from: https://revistas.unal.edu.co/index.php/estad/article/view/109325

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CrossRef Cited-by

CrossRef citations1

1. Anoop Kumar, Shashi Bhushan, Rohini Pokhrel, Walid Emam, Yusra Tashkandy, M.J.S. Khan. (2024). Enhanced direct and synthetic estimators for domain mean with simulation and applications. Heliyon, 10(14), p.e33839. https://doi.org/10.1016/j.heliyon.2024.e33839.

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