Improved estimators for population coefficient of variation using auxiliary variable

Difference-Cum-Ratio Estimators for Estimating Finite Population Coefficient of Variation in Simple Random Sampling

“…Singh R et al [20] proposed ratio-type, exponential ratio-type and difference-type estimators for coefficient of variation of the study variable Y using mean of auxiliary variable and are given below with their MSEs as [20] proposed arithmetic, geometric and harmonic mean estimators (AM, GM, HM) based on 0 t and 1 t estimators for estimating coefficient of variation of the study variable Y and are given below with their…”

“…where [20] proposed arithmetic, geometric and harmonic mean estimators (AM, GM, HM) based on 1 t and 2 t estimators for estimating coefficient of variation of the study variable Y and are given below with their MSEs as 6ˆe xp 2 [20] proposed ratio type, exponential ratio-type and difference-type estimators for estimating coefficient of variation of the study variable Y using variances of the auxiliary variables and are given below:…”

“…Singh R et al [20] proposed ratio-type, exponential ratio-type and difference-type estimators for estimating coefficient of variation of the study variable Y using coefficients of variation of auxiliary variable, and are given below with their MSEs as…”

“…Some authors have worked on this, for instance [8,9] first proposed the estimator for coefficient of variation when samples were selected using SRSWOR. Das AK et al [14], Das AK et al [15], Patel PA et al [16], Rajyaguru A et al [17], Rajyaguru A et al [18], Archana V et al [19], Singh R et al [20] also, worked on the problem of estimation of coefficient of variation (C.V) under simple random sampling and stratified random sampling. However, some of these existing estimators are ratio-based which are less efficient if the correlation between the study and auxiliary variables is weak.…”

“…al [20]. proposed arithmetic, geometric and harmonic mean estimators (AM, GM, HM) based on 0 t and 2…”