Volume 51 | Number 4 | Year 2017 | Article Id. IJMTT-V51P540 | DOI : https://doi.org/10.14445/22315373/IJMTT-V51P540
The present article addresses the effects of measurement errors on the estimation of population coefficient of variation CY of the study variable Y. Bias and mean squared error (MSE) of the proposed estimator are derived upto the first order of approximation under simple random sampling design. A theoretical efficiency comparison is made between the proposed estimator and the usual coefficient of variation estimator in presence of measurement errors. Based on large sample approximations the optimal condition is obtained under which the proposed estimator performs better than the conventional estimator in presence of measurement errors. Theoretical results are verified by the simulation study using R software.
[1] DAS, A.K. and TRIPATHI, T.P. (1981 a): Sampling strategies for coefficient of variation using knowledge of the mean using an auxiliary character. Tech. Rep. Stat. Math. 5/81. ISI, Calcutta.
[2] DAS, A.K. and TRIPATHI, T.P. (1981 b): A class of estimators for co-efficient of variation using knowledge on coefficient of variation of an auxiliary character. Paper presented at annual conference of Ind. Soc. Agricultural Statistics. Held at New Delhi, India.
[3] FIELLER, E.C. (1932): A numerical test of the adequacy of A. T. McKay’s approximation. J. Roy. Stat. Soc. 95, pp. 699–702.
[4] HENDRICKS, W.A. and ROBEY, W.K.(1936): The sampling distribution of the Co-efficient of variation. Annals. Math. Stat. (7), 129-132.
[5] KORDONSKY, KH.B AND GERTSBAKH. I (1997): Multiple Time Scales and Life time Coefficient of Variation: Engineering Applications. Lifetime Data Analysis. 3, 139-156.
[6] MANEESHAAND SINGH, R. K.( 2001). An estimation of population mean in the presence of measurement errors, Jour. Ind. Soc. Ag. Statistics, 54(1), 13-18.
[7] MCKAY, A.T. (1932): Distribution of the Co-efficient of variation and the extended ‘t’ distribution. J.Royal.Stat.Soc.95, 696-698.
[8] MAHMOUDVAND, R. and HASSANI, H. (2007): Two new confidence intervals for the C.V in a normal distribution. Journal of Applied Statistics, 36: 4,429- 442.
[9] MISRA,S. ANDYADAV, D.K.(2015). Estimating Population Mean Using Known Coefficient of Variation under Measurement Errors in the edited book Statistics and Informatics in Agricultural Research, Excel India Publisher, New Delhi.
[10] MISRA, S., YADAV, D.K. ,DIPIKA (2016). An Efficient Estimator for Estimating Population Variance in Presence of Measurement Errors, International Journal of Mathematics And its Applications, Vol.4, Issue-2(D), 23-28 , ISSN-2347-1557.
[11] NAIRY, S.K. and RAO, A.K. (2003): Tests for Coefficients of variation of normal population. Communications in Statistics-Simulation and Computation, 32(3), 641-661.
[12] PATEL, P. A. and SHAH RINA. (2009): A Monte Carlo comparison of some suggested estimators of Co-efficient of variation in finite population. Journal of Statistics sciences, 1(2), 137-147.
[13] PEARSON, E.S.(1932): Comparison of A.T. McKay’s approximation with experimental sampling results. J.Royal. Stat. Soc. 95, 703-704.
[14] RAJYAGURU, A. and GUPTA, P.C.(2002): On the estimation of Co-efficient of variation for finite population-I, Journal of Statistical research, Dhaka.
[15] SHALABH,( 1997). Ratio method of estimation in the presence of measurement errors, Jour. Ind. Soc. Ag. Statistics,Vol.I, No-2, 150-155.
[16] SINGH H.P. AND KARPE , N. ( 2009). A general procedure for estimating the general parameter using auxiliary information in presence of measurement errors , Communication of the Korean Statistical Society,16(5), 821-840.
[17] SRIVASTAVA, S.K.(1980): A class of estimators using auxiliary information in sample surveys. Canad. J. Statist, 8(2), 253-254.
[18] SUKHATME, P.V, SUKHATME, B.V. SUKHATME, S .AND ASHOK, C (1984). Sampling Theory of Surveys with Applications, 3rd Ed., Iowa State University Press, Ams, Iowa(USA) and Indian Society of Agricultural Statistics, New Delhi.
[19] TRIPATHI, T.P. SINGH, H.P. and UPADHYAYA, L.N. (2002): A general method of estimation and its application to the estimation of co-efficient of variation. Statistics in Transition, 5(6), 887-909.
[20] V. ARCHANA, RAO. K. ARUNA RAO (2011). Improved estimators of coefficient of variation in a finite population, Statistics in Transition- new series, 12(2), 357-380.
Sheela Misra, Dharmendra Kumar Yadav, Dipika, Ashish.Kr.Shukla, "On Estimation of Population Coefficient of Variation in Presence of Measurement Errors," International Journal of Mathematics Trends and Technology (IJMTT), vol. 51, no. 4, pp. 307-311, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V51P540