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Double Sampling for Ratio Estimation

Effect of Correlation Level on the Use of Auxiliary Variable in Double Sampling for Regression Estimation

Effect of Correlation Level on the Use of Auxiliary Variable in Double Sampling for Regression Estimation

... In sampling theory, auxiliary information may be utilized at any of these three stages or by combining two or all of the three ...ized. Ratio, regression, product and difference estimators take advantage of ...

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Optimal Allocation in Domains Mean Estimation Using Double Sampling with Non-Linear Cost Function in the Presence of Non-Response

Optimal Allocation in Domains Mean Estimation Using Double Sampling with Non-Linear Cost Function in the Presence of Non-Response

... mean estimation using non-linear cost ...stratum estimation using non-linear cost function using ratio estimation in the presence of ...mean estimation using double ...

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Domain Mean Estimation Using Double Sampling with Non-Linear Cost Function in the Presence of Non Response

Domain Mean Estimation Using Double Sampling with Non-Linear Cost Function in the Presence of Non Response

... proposed ratio and regression estimation of the population mean of the study variables where the auxiliary variable information is obtained from all the sample units with some of the sample units failing to ...

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Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute

Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute

... double sampling. The use of auxiliary information at the estimation stage appears to have started with the work of Cochran ([Coc40]) and Cochran ([Coc77]) presented the basic result of double ...

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Compromise Allocation for Combined Ratio Estimates of Population Means of a Multivariate Stratified Population Using Double Sampling in Presence of Non Response

Compromise Allocation for Combined Ratio Estimates of Population Means of a Multivariate Stratified Population Using Double Sampling in Presence of Non Response

... When auxiliary information is available, the use of Ratio method of estimation is well known in univariate stratified sampling. Formulae are also available to work out optimum allocations to various ...

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An exponential and log ratio estimator of population mean using auxiliary information in double sampling

An exponential and log ratio estimator of population mean using auxiliary information in double sampling

... The estimators cited above have been extensively used for estimation of population mean in varied situations. The core objective of the study is to proposed an improved ratio type exponential estimator and ...

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Estimation of Population Mean in Two Stage Design using Double Sampling for Stratification and Multiauxiliary Information

Estimation of Population Mean in Two Stage Design using Double Sampling for Stratification and Multiauxiliary Information

... and ratio estimators based on DSS with Prabha [2] in Unstratified Double Sampling (USDS) where second sample is a simple random at size n from the first random sample 𝑛 ′ instead of being selected in ...

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A Generalized Difference-cum-Ratio Type Estimator for the Population Variance in Double Sampling

A Generalized Difference-cum-Ratio Type Estimator for the Population Variance in Double Sampling

... survey sampling, the estimation of population variance of the variable under study has attracted the attention of large number of statisticians to know the variation in the ...(double) ...

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Relationship between cover and yield of some range species in steppic region of

Relationship between cover and yield of some range species in steppic region of

... using double sampling procedure which has been introduced by Wilm et ...ocular estimation of yield. So, double sampling procedure suggested in this paper is more ...of ratio of ...

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Goodness-of-fit testing for the inverse Gaussian distribution based on new entropy estimation using ranked set sampling and double ranked set sampling

Goodness-of-fit testing for the inverse Gaussian distribution based on new entropy estimation using ranked set sampling and double ranked set sampling

... suggested double robust extreme RSS for estimat- ing the population mean, Haq and Shabbir (2010) pro- posed a family of ratio estimators of the population mean using extreme RSS based on two auxiliary ...

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Class of Difference Cum Ratio–Type Estimator in Double Sampling Using Two Auxiliary Variables with Some Known Population Parameters

Class of Difference Cum Ratio–Type Estimator in Double Sampling Using Two Auxiliary Variables with Some Known Population Parameters

... the estimation of the population mean of the variable ...phase sampling or double sampling scheme for estimating the population means of the auxiliary variables, see Cochran ...estimatorsin ...

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Estimation of population mean and median using double robust truncation based ranked set sampling

Estimation of population mean and median using double robust truncation based ranked set sampling

... set sampling (RSS) was suggested by McIntyre (1952) for estimating mean pasture and forage ...suggested double ranked set sampling design for estimating population ...set sampling (ERSS). ...

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A class of efficient Ratio type estimators for the Estimation of Population Mean Using the auxilliary information in survey sampling

A class of efficient Ratio type estimators for the Estimation of Population Mean Using the auxilliary information in survey sampling

... survey sampling has its own e minent role both at design and estimation ...tal. Ratio, product and regression methods of estimat ion are good exa mp les in this ...the ratio type estimators by ...

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Nanoparticle suspensions enclosed in methylcellulose: a new approach for quantifying nanoparticles in transmission electron microscopy

Nanoparticle suspensions enclosed in methylcellulose: a new approach for quantifying nanoparticles in transmission electron microscopy

... Nanoparticles are of increasing importance in biomedicine but quantification is problematic because current methods depend on indirect measurements at low resolution. Here we describe a new high- resolution method for ...

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Determinant sampling scheme for ratio and regression  methods of estimation

Determinant sampling scheme for ratio and regression methods of estimation

... in estimation techniques of sample surveys to increase the precision of the sample ...the ratio and regression methods of estimation, which provide better estimators than the usual estimators based ...

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Improvement on estimating median for finite population using auxiliary variables in double-sampling

Improvement on estimating median for finite population using auxiliary variables in double-sampling

... in double sampling. Using simple random sampling without-replacement scheme (SRSWOR) the estimated mean square error (MSE) and BIAS are computed for the new suggested median ...

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Query Size Estimation through Sampling

Query Size Estimation through Sampling

... This condition finds the number of tuples that have to be sampled within rel- ative error max(s,nψ). It assumes when sample size n is large, it follows from the Standard Central Limit Theorem. It prevents to exceed error ...

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Sampling Error Estimation in Stratified Surveys

Sampling Error Estimation in Stratified Surveys

... Stratified sampling is an appropriate method when several homogeneous and mutually exclusive strata or subpopulations are identified in the ...exhaustive sampling is recommended, ...

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A Note on Ratio Estimators in two Stage Sampling

A Note on Ratio Estimators in two Stage Sampling

... The ratio estimators considered in a two stage sampling set up have been compared with the usual unbiased estimator without use of auxiliary information, as regards their ...

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Some Multi Convex Programming Problems Arising  in Multivariate Sampling

Some Multi Convex Programming Problems Arising in Multivariate Sampling

... ABSTRACT The problems of multivariate sampling arising in the areas of stratified random sampling, two stage sampling, double sampling and response errors formulate as multiobjective con[r] ...

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