International Research Journal of Agricultural Economics and Statistics

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A New Approach of Ratio Estimation in Sample Surveys


Affiliations
1 Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu (J&K), India
     

   Subscribe/Renew Journal


This article deals with the estimation of population mean under simple random sampling using a new form of ratio estimator. The expression for mean square error and bias has been obtained. An efficiency comparison is considered for proposed estimator with the classical ratio, product and exponential ratio estimator. Finally an empirical study is also carried out to judge the performance of proposed estimator.

Keywords

Simple Random Sampling, Ratio Estimator, Mean Square Error, Efficiency, AMS Classification: 62D05.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Bahl, S. and Tuteja, R.K. (1991). Ratio and product exponential estimator. Information & Optimazimation Sci., 12 (1) : 159-163

  • Cochran, W.G. (1997). Sampling Techniques, 3rd Ed., John Wiley & Sons, Inc., New York, U.S.A.

  • Jeelani, M.I. and Maqbool, S. (2013). Modified ratio estimators of population mean using linear combination of coefficient of skewness and quartile deviation. South Pacific J. Nat. & Appl. Sci., 31 (1) : 39-44.

  • Murthy, M.N. (1967). Sampling theory and methods, Statistical Publishing Society, Calcutta (W.B.) India

  • Prasad, B. (1989). Some improved ratio type estimators of population mean and ratio infinite population sample surveys, Communications in Statistics: Theory & Methods, 18 : 379–392.

  • Sen, A.R. (1993). Some early developments in ratio estimation, Biometric J., 35 (1) : 3-13

  • Singh, D. and Chaudhary, F.S. (1986). Theory and analysis of sample survey designs, New Age International Publisher.

  • Singh, H.P. and Tailor, R. (2003). Use of known correlation Coefficient in estimating the finite population means, Statistics Transition, 6(4) : 555-560

  • Singh, H.P., Singh, P., Tailor, R. and Kakran, M.S. (2004). An Improved Estimator of population mean using Power transformation. J. Indian Soc. Agric. Stat., 58(2) : 223-230.

  • Singh, H.P. and Tailor, R. (2005). Estimation of finite population mean with known co-efficient of variation of an auxiliary, STATISTICA, anno 65 (3) : 301-313

  • Upadhyaya, L.N. and Singh, H.P. (1999). Use of transformed auxiliary variable in estimating the finite population mean. Biometrical J., 41(5) : 627-636

  • Yan, Z. and Tian, B. (2010).Ratio method to the mean estimation using co-efficient of skewness of auxiliary variable, ICICA2010, PartII,CCIS106(2010):103–110.


Abstract Views: 411

PDF Views: 0




  • A New Approach of Ratio Estimation in Sample Surveys

Abstract Views: 411  |  PDF Views: 0

Authors

M. Iqbal Jeelani
Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu (J&K), India
S. E. H. Rizvi
Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu (J&K), India
Manish KR. Sharma
Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu (J&K), India
Nageena Nazir
Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu (J&K), India
Faheem Jeelani
Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu (J&K), India

Abstract


This article deals with the estimation of population mean under simple random sampling using a new form of ratio estimator. The expression for mean square error and bias has been obtained. An efficiency comparison is considered for proposed estimator with the classical ratio, product and exponential ratio estimator. Finally an empirical study is also carried out to judge the performance of proposed estimator.

Keywords


Simple Random Sampling, Ratio Estimator, Mean Square Error, Efficiency, AMS Classification: 62D05.

References