[PDF] Top 20 A Class of Estimators for Population Ratio in Simple Random Sampling Using Variable Transformation

... The percentage relative efficiencies (PRE-1) of Table 2 reveal that apart from the estimator, R ˆ 8 , the pro- posed regression-type estimator, R ˆ 7 , based on both the sample means, x and x * , is more efficient than ... See full document

... the ratio of final year GPA to absenteeism from lectures, based on a post-stratified sample of 20 out of the 50 students in the ...of population parameters, are shown in Table ... See full document

... a random samp le. When the population parameters of the au xilia ry variable, such as population mean, kurtosis, skewness, coefficient of variation, median, quartiles, correlation coeffic ... See full document

... finite population under investigation consist of N distinct and identifiable units and let ( , ), x y i i i = ...Y) using a simple random sampling without replacement (SRSWOR) ...the ... See full document

... existing estimators having the highest Percentage Relative Efficiency hence can be applied to practical applications, where knowledge of population parameters of auxiliary variable is ... See full document

... by using the technique of stratified random ...of ratio of two population means using auxiliary variable under stratified random sampling through generalized ... See full document

... of estimators is proposed for estimating finite population mean of a sensitive variable in stratified random sampling with non-sensitive auxiliary variable based on randomized ... See full document

... finite population mean has been widely considered by many authors in different sampling ...the variable of interest cannot be measured easily or is very expensive to do so, but it can be ranked ... See full document

... auxiliary variable and proposed improved ratio type estimators of population mean, Yan and Tian (2010), suggested the estimators of population mean using coefficient of ... See full document

... finite population median using two- auxiliary variables in double ...sampling. Using simple random sampling without-replacement scheme (SRSWOR) the estimated mean square ... See full document

... GENERALIZED CLASS OF UNBIASED JACK-KNIFE ESTIMATORS Now, we consider a simple random sample of size 2m and split this sample randomly into two sub samples each of size ... See full document

... study variable, Jhajj et al (2006) and Singh, et al (2008) defined ratio estimators of population mean when the priori information on auxiliary variable possessing some attribute is ... See full document

... simple random samples from the target population, then, distribute the selected units into 𝑚 sets each of size 𝑚 units. Rank the units within each set by eye or by other economical method. Finally, ... See full document

... a random sample obtained through a two-phase selection. Allowing simple random sampling without replacement (SRSWOR) in each phase, we consider a two-phase sampling: At phase one, a ... See full document

... applied ratio estimation to derive efficient ratio-type estimators of the population vari- ance by modifying the structure of existing estimators such as modified estimators of ... See full document

... Two-phase sampling has been developed and recommended using multi-auxiliary variables for Full Information Case (FIC), Partial Information Case I (PIC-I) and No Information Case (NIC) ...PIC-I ... See full document

... the estimators of the population means. Several methods of using the auxiliary variable at the estimation stage are described, which include linear regression estimator, ratio estimator ... See full document

... 13. Singh, R., Kumar, M., Singh, R.D., and Chaudhary, M.K. (2008): Exponential Ratio Type Estimators in Stratified Random Sampling. (Proceedings of International Symposium on Optimisation and ... See full document

... some ratio estimators for estimating the population mean of the variable under study, which make use of information regarding the population proportion possessing certain attribute, are ... See full document

... mean, ratio, proportion, ...context, ratio, product and regression methods of estimation are good ...product-type estimators take advantage of the correlation between the auxiliary variable ... See full document