Publicado

2023-01-01

Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory

Imputación de datos faltantes a través de métodos exponenciales de tipo de producto en la teoría del muestreo

DOI:

https://doi.org/10.15446/rce.v46n1.102308

Palabras clave:

Auxiliary variable, Product type estimator, Imputation (en)
Variable auxiliar, Estimador de tipo de producto, Imputación (es)

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Autores/as

  • Shakti Prasad National Institute of Technology, Arunachal Prades
  • Vinay Kumar Yadav National Institute of Technology, Arunachal Pradesh

 Some efficient product type exponential imputation methods are proposed in this article to tackle the problem of incomplete values in sampling theory. To investigate the effectiveness of proposed exponential methods, the behaviours of the considered estimators are compared in two scenarios: with and without nonresponse. The simulation studies show that the proposed resultant estimators outperform other existing estimators in this literature.

En este artículo se proponen algunos métodos eficientes de imputación exponencial de tipo de producto para abordar el problema de los valores incompletos en la teoría del muestreo. Para investigar la efectividad de los métodos exponenciales propuestos, se comparan los comportamientos de los estimadores considerados en dos escenarios: con y sin falta de respuesta. Los estudios de simulación muestran que los estimadores resultantes propuestos superan a otros estimadores existentes en esta literatura.

Referencias

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Cómo citar

APA

Prasad, S. y Yadav, V. K. (2023). Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory. Revista Colombiana de Estadística, 46(1), 111–127. https://doi.org/10.15446/rce.v46n1.102308

ACM

[1]
Prasad, S. y Yadav, V.K. 2023. Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory. Revista Colombiana de Estadística. 46, 1 (ene. 2023), 111–127. DOI:https://doi.org/10.15446/rce.v46n1.102308.

ACS

(1)
Prasad, S.; Yadav, V. K. Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory. Rev. colomb. estad. 2023, 46, 111-127.

ABNT

PRASAD, S.; YADAV, V. K. Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory. Revista Colombiana de Estadística, [S. l.], v. 46, n. 1, p. 111–127, 2023. DOI: 10.15446/rce.v46n1.102308. Disponível em: https://revistas.unal.edu.co/index.php/estad/article/view/102308. Acesso em: 1 abr. 2025.

Chicago

Prasad, Shakti, y Vinay Kumar Yadav. 2023. «Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory». Revista Colombiana De Estadística 46 (1):111-27. https://doi.org/10.15446/rce.v46n1.102308.

Harvard

Prasad, S. y Yadav, V. K. (2023) «Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory», Revista Colombiana de Estadística, 46(1), pp. 111–127. doi: 10.15446/rce.v46n1.102308.

IEEE

[1]
S. Prasad y V. K. Yadav, «Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory», Rev. colomb. estad., vol. 46, n.º 1, pp. 111–127, ene. 2023.

MLA

Prasad, S., y V. K. Yadav. «Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory». Revista Colombiana de Estadística, vol. 46, n.º 1, enero de 2023, pp. 111-27, doi:10.15446/rce.v46n1.102308.

Turabian

Prasad, Shakti, y Vinay Kumar Yadav. «Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory». Revista Colombiana de Estadística 46, no. 1 (enero 18, 2023): 111–127. Accedido abril 1, 2025. https://revistas.unal.edu.co/index.php/estad/article/view/102308.

Vancouver

1.
Prasad S, Yadav VK. Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory. Rev. colomb. estad. [Internet]. 18 de enero de 2023 [citado 1 de abril de 2025];46(1):111-27. Disponible en: https://revistas.unal.edu.co/index.php/estad/article/view/102308

Descargar cita

CrossRef Cited-by

CrossRef citations13

1. Shashi Bhushan, Anoop Kumar, Rohini Pokhrel. (2024). Estimation of Domain Mean Using General Class of Imputation Methods. Sankhya B, 86(2), p.506. https://doi.org/10.1007/s13571-024-00335-x.

2. Anoop Kumar, Shashi Bhushan, Shivam Shukla, Ibrahim M. Almanjahie, M.J.S. Khan, Amer Ibrahim Al-Omari. (2024). On some robust imputation methods in presence of correlated measurement errors with real data applications. Alexandria Engineering Journal, 104, p.136. https://doi.org/10.1016/j.aej.2024.05.112.

3. Vinay Kumar Yadav, Shakti Prasad. (2024). Neutrosophic Estimators for Estimating the Population Mean in Survey Sampling. Measurement: Interdisciplinary Research and Perspectives, 22(4), p.373. https://doi.org/10.1080/15366367.2023.2267835.

4. Anoop Kumar, Shashi Bhushan, Abdullah Mohammed Alomair. (2024). Optimal class of memory type imputation methods for time-based surveys using EWMA statistics. Scientific Reports, 14(1) https://doi.org/10.1038/s41598-024-73518-1.

5. Shashi Bhushan, Anoop Kumar, Rohini Pokhrel. (2024). Synthetic imputation methods for domain mean under simple random sampling. Franklin Open, 7, p.100101. https://doi.org/10.1016/j.fraope.2024.100101.

6. Vinay Kumar Yadav, Shakti Prasad. (2025). Some new efficient linear regression ratio type estimators for estimating the population mean in sampling theory. Boletim da Sociedade Paranaense de Matemática, 43, p.1. https://doi.org/10.5269/bspm.68413.

7. Anoop Kumar, Shashi Bhushan, Walid Emam, Yusra Tashkandy, M. J. S. Khan. (2024). Novel logarithmic imputation procedures using multi auxiliary information under ranked set sampling. Scientific Reports, 14(1) https://doi.org/10.1038/s41598-024-68940-4.

8. Vinay Kumar Yadav, Shakti Prasad. (2024). Generalized class of factor type exponential imputation techniques for population mean using simulation approach. Journal of Statistical Computation and Simulation, 94(9), p.1997. https://doi.org/10.1080/00949655.2024.2310699.

9. Shashi Bhushan, Anoop Kumar, Rohini Pokhrel, M. E. Bakr, Getachew Tekle Mekiso. (2024). Design based synthetic imputation methods for domain mean. Scientific Reports, 14(1) https://doi.org/10.1038/s41598-024-53909-0.

10. Vinay Kumar Yadav, Shakti Prasad, Subhash Kumar Yadav. (2025). Generalized factor-type exponential estimators of population mean in sample surveys. Boletim da Sociedade Paranaense de Matemática, 43, p.1. https://doi.org/10.5269/bspm.66504.

11. Vinay Kumar Yadav, Shakti Prasad. (2023). A simulation based optimization of factor-type exponential estimators in sample surveys with coefficients of variation and kurtosis. Franklin Open, 5, p.100050. https://doi.org/10.1016/j.fraope.2023.100050.

12. Shashi Bhushan, Anoop Kumar. (2025). Ranked set sampling imputation methods in presence of correlated measurement errors. Communications in Statistics - Theory and Methods, 54(6), p.1895. https://doi.org/10.1080/03610926.2024.2352031.

13. Anoop Kumar, Shashi Bhushan. (2025). Logarithmic imputation techniques for temporal surveys: a memory-based approach explored through simulation and real-life applications. Quality & Quantity, https://doi.org/10.1007/s11135-025-02096-9.

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