[PDF] Top 20 IMPROVED EXPONENTIAL ESTIMATOR IN STRATIFIED RANDOM SAMPLING
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IMPROVED EXPONENTIAL ESTIMATOR IN STRATIFIED RANDOM SAMPLING
... (2008): Exponential ratio type estimators in stratified random sampling, Presented in International Symposium on Optimisation and Statistics ... See full document
16
NONPARAMETRIC MIXED RATIO ESTIMATOR FOR A FINITE POPULATION TOTAL IN STRATIFIED SAMPLING
... to estimate the population total. We did this for several mean functions so as to make enough comparison. A sample of size 100 was taken with each stratum contributing a sample size proportional to the number of units in ... See full document
15
Review of some ratio estimators in stratified random sampling
... [5] Koyuncu, N.,. Tabakalı Rasgele Örneklemede Yardımcı Değişken Bilgisi Kullanılarak Kitle Ortalaması ve Varyansının Tahmin Edilmesi, Hacettepe Üniversitesi Fen Bilimleri Enstitüsü Yüksek Lisans Tezi, Ankara, (2007). ... See full document
11
A New Estimator Using Auxiliary Information in Stratified Adaptive Cluster Sampling
... cluster sampling, proposed by Thompson [1], is an efficient method for sampling rare and hidden clustered ...cluster sampling, an initial sam- ple of units is selected by simple random ... See full document
5
Improved Estimators of Population Mean Using Two Auxiliary Variables in Stratified random Sampling
... 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
8
Ratio-Type Estimators in Stratified Random Sampling using Auxiliary Attribute
... in stratified random sampling using auxiliary ...ratio estimator and it is shown that the proposed estimators are more efficient than combined ratio estimator under certain ... See full document
5
Estimation Approach to Ratio of Two Inventory Population Means in Stratified Random Sampling
... Under the above laid down condition, the proposed estimator is believed to perform more efficiently than the estimator G 1st considered in (2.2) of ratio of two population means for it will have lesser mean ... See full document
6
Estimation Of Population Total Using Model-Based Approach: A Case Of HIV/AIDS In Nakuru Central District, Kenya
... an estimator for finite population total under the famous prediction ...simple random sampling and stratified random sampling ...simple random sampling (s.r.s) and ... See full document
5
A Family of Estimators of a Sensitive Variable Using Auxiliary Information in Stratified Random Sampling
... in stratified random sampling. Under stratified random sampling without replacement scheme, the expression of bias and mean square error (MSE) up to the first-order ... See full document
15
Optimum Allocation of Multi-Items in Stratified Random Sampling Using Principal Component Analysis
... worked out optimal choices of the variable of interest considering suitable cost functions and recommended replacement of unknown parameters occurring in the optimal solutions by sample analogues. Hence the problem of ... See full document
7
Improved Estimation of Rare Sensitive Attribute in a Stratified Sampling Using Poisson Distribution
... with improved estimators for the mean and its variance of the number of persons possessing a rare sensitive attribute based on stratified sampling by using Poisson ...using stratified double ... See full document
11
An exponential and log ratio estimator of population mean using auxiliary information in double sampling
... an improved ratio type exponential estimator and analyzes its ...function estimator in the following section. Efficiency of the proposed estimator has been checked mathematically with ... See full document
10
A FAMILY OF ESTIMATORS FOR ESTIMATING POPULATION MEAN IN STRATIFIED SAMPLING UNDER NON-RESPONSE
... In the next sections, we have tried to propose a family of combined-type estimators considering the above family of estimators in stratified random sampling under non-response. We have discussed the ... See full document
8
Dual to Ratio-Cum-Product Estimator in Simple and Stratified Random Sampling
... new estimator under SRSWOR, this estimator is further extended to STRS ...unbiased estimator, the traditional ratio [Cochran (1940)] and product estimators and the estimators proposed by Singh ... See full document
15
Local Polynomial Regression Estimator of the Finite Population Total under Stratified Random Sampling: A Model Based Approach
... an estimator of finite popu- lation total using nonparametric regression under stratified random ...proposed estimator is investigated against some design- based and model-based regression ... See full document
13
Improved Exponential Type Estimators for Finite Population Mean in Stratified Random Sampling
... In sampling theory the role of auxiliary information has a great ...and exponential type estimators to get more efficient estimator under different sampling ...In stratified ... See full document
13
An Improved Estimator Of Finite Population Mean Using Auxiliary Attribute(S) In Stratified Random Sampling Under Non-Response
... new estimator for population mean using Singh et ...of stratified random sampling when the information is available in form of attributes under ... See full document
9
Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling
... From the summary table above, it can be seen that the proposed estimator gives a total with a very small bias as compared to the Olkin’s. Also, the proposed model can be seen to have a small Root Mean Square Error ... See full document
5
Generalized Exponential-Cum-Exponential Estimator in Adaptive Cluster Sampling
... generalized exponential-cum-exponential estimator is proposed utilizing the two auxiliary variables based on average values of the networks in adaptive cluster ...The exponential ratio-cum- ... See full document
22
Comparison Of Allocation Procedures In A Stratified Random Sampling Of Skewed Populations Under Different Distributions And Sample Sizes
... decrease. Sampling technique relates to precision in that a technique will be efficient if it is related to the distribution of the population values while in variation within the strata precision is of ... See full document
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