Heuristical Approach for Optimizing Population Mean Using Ratio Estimator in Stratified Random Sampling

Authors

  • G. R. V. Triveni Department of Mathematics, School of Advanced Sciences, VIT-AP University, Inavolu, Beside AP Secretariat, Amaravati AP-522237, India
  • Faizan Danish Department of Mathematics, School of Advanced Sciences, VIT-AP University, Inavolu, Beside AP Secretariat, Amaravati AP-522237, India

DOI:

https://doi.org/10.13052/jrss0974-8024.1617

Keywords:

Relative effciency, Bias, mean square error, Stratified sampling, Taylors series, ratio estimators

Abstract

In this study, we have developed a Ratio type estimator in Stratified sampling to estimate the population average of study variable by using the information of a concomitant variable. By utilizing Taylor’s series, we have derived the expressions for Bias and MSE upto first degree of approximation. In numerical illustration, employing a real data set, we have demonstrated that the proposed estimator has highest Percentage relative efficiency when compared to the considered existing estimatrs. Furthermore, we have demonstrated that Separate ratio type estimators have the highest relative efficiency when contrasted with the Combined ratio type estimators.

Downloads

Download data is not yet available.

Author Biographies

G. R. V. Triveni , Department of Mathematics, School of Advanced Sciences, VIT-AP University, Inavolu, Beside AP Secretariat, Amaravati AP-522237, India

G. R. V. Triveni currently a Ph.D Research Scholar in the Department of Mathematics, School of Advanced Sciences, VIT-AP University, Amaravati, Andhra Pradesh, India. Her Research area is Sampling theory. She had done M.Sc from Andhra University, Andhra Pradesh. She possessed a limited knowledge of R software.

Faizan Danish, Department of Mathematics, School of Advanced Sciences, VIT-AP University, Inavolu, Beside AP Secretariat, Amaravati AP-522237, India

Faizan Danish is currently working as an Assistant Professor (Statistics) in VIT-AP University, Vijayawada Andhra Pradesh, India and has done Ph.D. from Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, J&K, India. He has worked as Postdoctoral Fellow in New York University, New York, USA. Dr. Danish has around 3 years of Teaching experience and published around 25 research papers in reputed journals. Further, he has worked as Biostatistician under Research Consultation Services, Doha Qatar. He has research expertise in Sampling Theory, Mathematical, Applied Statistics and Biostatistics. Dr. Danish is well versed with Statistical Software’s: R, STATA, SPSS, Fortran 77, O.P STAT, WINDOSTAT, Mathematica.

References

Bahl, S., and Tuteja, R. (1991). Ratio and product type exponential estimators. Journal of information and optimization sciences, 12(1), 159–164.

Cochran, W. G. (1977). Sampling techniques. John Wiley & Sons.

Haruna, N. F., Kumar Singh, R. V., and Dahiru, S. (2021). A modified ratio type estimator of finite population mean under Stratified random sampling scheme. Indian Journal of Applied Research, 11, 58–60.

Kadilar, C., and Cingi, H. (2003). Ratio estimators in stratified random sampling. Biometrical journal, 45(2), 218–225.

Kadilar, C., and Cingi, H. (2005). A new ratio estimator in stratified random sampling. Communications in Statistics - Theory and Methods, 34(3), 597–602.

Kumar, M., and Vishwakarma, G. K. (2020). Generalized classes of regression-cum-ratio estimators of population mean in stratified random sampling. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 90, 933–939.

Lone, H. A., Tailor, R., and Verma, M. R. (2017). Efficient separate class of estimators of population mean in stratified random sampling. Communications in Statistics – Theory and Methods, 46(2), 554–573.

Mishra, M., Singh, S., and Khare, B. B. (2022). Separate Ratio Estimator Using Calibration Approach for the Population mean in Stratified Random Sampling. Asian Journal of Probability and Statistics, 20(3), 64–73.

Prasad, B. (1989). Some improved ratio type estimators of population mean and ratio in finite population sample surveys. Communications in Statistics-Theory and Methods, 18(1), 379–392.

Rather, K. U. I., and Kadilar, C. (2022). Dual to Ratio cum Product Type of Exponential Estimator for Population Mean in Stratified Random Sampling. Journal of Statistics Applications & Probability Letters, 9(1), 43–48.

Sisodia, B. V. S., and Dwivedi, V. K. (1981). Modified ratio estimator using coefficient of variation of auxiliary variable. Journal-Indian Society of Agricultural Statistics, 33(2), 13–18.

Singh, H. P., and Kakran, M. S. (1993). A modified ratio estimator using known coefficient of kurtosis of an auxiliary character. Journal of the Indian Society of Agricultural Statistics, 45(2), 141–148.

Shabbir, J., and Gupta, S. (2005). Improved ratio estimators in stratified sampling. American Journal of Mathematical and Management Sciences, 25(3–4), 293–311.

Shabbir, J., and Gupta, S. (2017). Estimation of finite population mean in simple and stratified random sampling using two auxiliary variables. Communications in Statistics-Theory and Methods, 46(20), 10135–10148.

Shahzad, U., Hanif, M., and Koyuncu, N. (2018). A new estimator for mean under stratified random sampling. Mathematical Sciences, 12, 163–169.

Shahzad, U., Hanif, M., Koyuncu, N., and Luengo, A. G. (2019). A family of ratio estimators in stratified random sampling utilizing auxiliary attribute alongside the nonresponse issue. Journal of Statistical Theory and Applications, 18(1), 12–25.

Tailor, R., and Chouhan, S. (2014). Ratio-cum-product type exponential estimator of finite population mean in stratified random sampling. Communications in Statistics-Theory and Methods, 43(2), 343–354.

Tailor, R., and Lone, H. A. (2014). Separate ratio-type estimators of population mean in stratified random sampling. Journal of Modern Applied Statistical Methods, 13(1), 14.

Tiwari, K. K., Bhougal, S., and Kumar, S. (2023). A general class of estimators in stratified random sampling. Communications in Statistics-Simulation and Computation, 52(2), 442–452.

Upadhyaya, L. N., and Singh, H. P. (1999). Use of transformed auxiliary variable in estimating the finite population mean. Biometrical Journal: Journal of Mathematical Methods in Biosciences, 41(5), 627–636.

United States. National Agricultural Statistics Service. (1999). 1997 Census of Agriculture. US Department of Agriculture, National Agricultural Statistics Service.

Yadav, R., Upadhyaya, L. N., Singh, H. P., and Chatterjee, S. (2011). Improved separate ratio exponential estimator for population mean using auxiliary information. Statistics in Transition new series, 12(2), 401–412.

Yadav, R., and Tailor, R. (2020). Estimation of finite population mean using two auxiliary variables under stratified random sampling. Statistics in Transition new series, 21(1), 1–12.

Yadav, R., Upadhyaya, L. N., Singh, H. P., and Chatterjee, S. (2014). Improved ratio and product exponential type estimators for finite population mean in stratified random sampling. Communications in Statistics-Theory and Methods, 43(15), 3269–3285.

Zaman, T. (2019). Efficient estimators of population mean using auxiliary attribute in stratified random sampling. Advances and Applications in Statistics, 56(2), 153–171.

Downloads

Published

2023-11-20

How to Cite

Triveni , G. R. V. ., & Danish, F. . (2023). Heuristical Approach for Optimizing Population Mean Using Ratio Estimator in Stratified Random Sampling. Journal of Reliability and Statistical Studies, 16(01), 137–152. https://doi.org/10.13052/jrss0974-8024.1617

Issue

Section

Articles