Vol. 12 (3&4) : May-August, 2021 Issue
Empirical study on efficient estimation techniques for population variance in agriculture
K.B.PANDAa1; M.SENa2*; S. ACHARYAb3 and P.N. PRADHANb4
aDepartment of Statistics, Utkal University, Bhubaneswar-751004 (Odisha) bDepartment of Agril. Statistics, College of Agriculture, OUAT, Bhubaneswar-751003, (Odisha)
Designation : 1Professor, 2Ph.D Scholar *(manoranjanstat@gmail.com) 3P.G. Student, 4Assoc. Professor (Retd.)
Subject : Entomology
Paper No. :
Total Pages : 5
Received :
Revised accepted :
Get Access
Citation :
Panda K.B. , Sen M., Acharya S. and Pradhan P.N. 2021. Empirical study on efficient estimation techniques for population variance in agriculture Green Farming. Vol. 12 ( 3 &4 ): 148-152. May-August, 2021.
ABSTRACT
We, in this paper, consider three efficient estimation techniques viz. Simple variance, product-type exponential estimator due to Singh et al. and Panda and Sen's efficient product-type exponential estimator based on simple random sampling to critically examine their efficiency for estimation of population variance. The mean squared error and percentage gain in efficiency are computed for all estimators. Empirical investigations have been carried out based on real-life data on agriculture.
Key words :
Auxiliary variable, Mean squared error, Percentage gain in efficiency.
