Estimation of finite population mean in sample surveys: A new estimator
*Surya K. PalCorresponding authorsuryakantpal6676@gmail.comDepartment of MathematicsSharda School of Basic Sciences and ResearchGreater Noida 201310, Uttar PradeshSharda UniversityIndiaView full profile → , Sagir A. Mahmudamsagir@fptb.edu.ngDepartment of MathematicsSharda School of Basic Sciences and ResearchGreater Noida 201310, Uttar PradeshSharda UniversityIndiaView full profile → , Madan M. Guptamadangupta22@gmail.comDepartment of StatisticsMeerut 250002, Uttar PradeshMeerut CollegeIndiaView full profile → , Housila P. Singhhspujn@gmail.comSchool of Studies in StatisticsUjjain 456010, Uttar PradeshVikram UniversityIndiaView full profile → , Ramkrishna S. Solankiramkssolanki@gmail.comDepartment of Mathematics and StatisticsWaraseoni, Balaghat 481331, Madhya PradeshCollege of AgricultureIndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 31 Dec 2022
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1304
- Pages:
- 157–169
Abstract
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References
[1] Cochran, W.G. (1940). The estimation of the yields of cereal experiments by sampling for the ratio of grain to total produce. Journal of Agricultural Science 30: 262-275.
[2] Das, A.K. and Tripathi, T.P. (1978). Use of auxiliary information in estimating the finite population variance. Sankhya C 40(2): 139-148.
[3] Hansen, M.H., Hurwitz, W.N. and Madow, W.G. (1953). Sample Survey Methods and Theory. John Wiley & Sons: New York (USA).
[4] Kadilar, C. and Cingi, H. (2006). An improvement in estimating the population mean by using the correlation coefficient. Hacettepe Journal of Mathematics and Statistics 35(1): 103-109.
[5] Koyuncu, N. and Kadilar, C. (2010). On the family of estimators of population mean in stratified random sampling. Pakistan Journal of Statistics 26(2): 427-443.
[6] Murthy, M.N. (1964). Product method of estimation. Sankhya A 26(1): 69-74.
[7] Sharma. P and Pal, S.K. (2018): Estimation of population mean in presence of random non-response. Journal of Statistics and Management Systems, Volume 21(6), 1105-1119.
[8] Robson, D.S. (1957). Applications of multivariate polykays to the theory of unbiased ratio-type estimation. Journal of the American Statistical Association 52(280): 511-522.
[9] Singh, H.P. and Tailor, R. (2003). Use of known correlation coefficient in estimating the finite population means. Statistics in Transition 6(4): 555-560.
[10] Singh, H.P., Tailor, R., Tailor, R. and Kakran, M.S. (2004). An improved estimator of population mean using power transformation. Journal of the Indian Society of Agricultural Statistics 58(2): 223-230.
[11] Singh, S. (2003). Advanced Sampling Theory with Applications: How Michael “selected” Amy. Kluwer Academic Publishers: The Netherlands.
[12] Sisodia, B.V.S. and Dwivedi, V.K. (1981). A modified ratio estimator using coefficient of variation of auxiliary variable. Journal of the Indian Society of Agricultural Statistics 33(1): 13-18.
[13] Pal,S.K. and Pal, A.K. (2021): The impact of increase in COVID-19 cases with exceptional situation to SDG: Good health and Well-being. Journal of Statistics & Management Systems, 24(1), 209-228.
[14] Pal, S.K. and Singh, H.P. (2018): Improved estimators of the finite universe variance and mean using ancillary variable in sample surveys, International Journal of Mathematics and Computation, 29 (2), 58-70.
[15] Pal, S.K. and Singh, H.P.(2022): An efficient new approach for estimating the general parameter using auxiliary variable in sample surveys. Afrika Matematika 33, 1-26. https://doi.org/10.1007/s13370-022-00983-0.
[16] Pal, S.K., Singh, H.P. & Solanki, R.S.(2020): A new efficient class of estimators of finite population mean in simple random sampling. Afrika Matematika, 31, 595–607 . https://doi.org/10.1007/s13370-019-00745-5.
[17] Srivastava, S.K. and Jhajj, H.S. (1980). A class of estimators using auxiliary information for estimating finite population variance. Sankhya C 42(1-2): 87-96.
[18] Mukherjee, S.,Venkataiah, C., Baral, M. M. & Pal, S.K. (2022): Analyzing the factors that will impact the supply chain of the COVID-19 vaccine: A structural equation modeling approach, Journal of Statistics and Management Systems, 25 (3), 1-17.
[19] Upadhyaya, L.N. and Singh, H.P. (1999). Use of transformed auxiliary variable in estimating the finite population mean. Biometrical Journal 41 (5): 627-636.
[20] Watson, D.J. (1937). The estimation of leaf area in field crops. Journal of Agricultural Science 27: 474– 483.
[21] Yan, Z. and Tian, B. (2010): Ratio method to the mean estimation using coefficient of skewness of auxiliary variable. ICICA (II) CCIS 106: 103–110.




