A postgrouped sampling is considered for estimating the (finite or infinite) population mean. Double sampling and an empirical-weighted estimator is used. Unbiasedness, variance and efficiency are considered. Its properties are discussed allowing the simple random sampling with replacement (SRSWR) design in the first phase, and in each stratum for the second phase. It is shown that for a fixed sample size in each postgroup, the variance of the proposed estimator with less prior information is asymptotically equivalent to the usual stratified estimator for fixed allocation. Some examples are provided for natural populations. The method is also extended to simple random sampling without replacement (SRSWOR) design in the first phase, and in e...
Sugden and Smith (2002. J. Statist. Plann. Inference 102, 25-38) investigated conditions under which...
A general class of estimators for finite population variance is proposed under a two-phase sampling ...
Abstract: In scientific applications, interest usually focuses on the “superpopula-tion ” parameters...
It is often seen that a population having large number of elements remains unchanged in several occa...
Not AvailableThe problem of estimation of finite population mean in the presence of the random respo...
Includes bibliographical references (leaf 86)When a sample is stratified after the units are selecte...
The stratification in sample surveys needs the knowledge of strata size and stratum frames both. Whe...
Using data from several artificial and natural populations published in the sampling literature, an ...
Many strategies in survey sampling depend on large sample approximation formulae for design-based in...
As an estimator of the population mean, the sample mean based only on the distinct units possesses a...
The objective of this paper is to construct some unbiased estimators of the current population mean ...
Through integrating techniques from several areas in survey sampling, we develop an alternative meth...
Inverse sampling design is generally considered to be an appropriate technique when the population i...
In this paper we have proposed an almost unbiased estimator using known value of some population par...
The present paper focuses on the use of double sampling scheme in stratified random sampling for est...
Sugden and Smith (2002. J. Statist. Plann. Inference 102, 25-38) investigated conditions under which...
A general class of estimators for finite population variance is proposed under a two-phase sampling ...
Abstract: In scientific applications, interest usually focuses on the “superpopula-tion ” parameters...
It is often seen that a population having large number of elements remains unchanged in several occa...
Not AvailableThe problem of estimation of finite population mean in the presence of the random respo...
Includes bibliographical references (leaf 86)When a sample is stratified after the units are selecte...
The stratification in sample surveys needs the knowledge of strata size and stratum frames both. Whe...
Using data from several artificial and natural populations published in the sampling literature, an ...
Many strategies in survey sampling depend on large sample approximation formulae for design-based in...
As an estimator of the population mean, the sample mean based only on the distinct units possesses a...
The objective of this paper is to construct some unbiased estimators of the current population mean ...
Through integrating techniques from several areas in survey sampling, we develop an alternative meth...
Inverse sampling design is generally considered to be an appropriate technique when the population i...
In this paper we have proposed an almost unbiased estimator using known value of some population par...
The present paper focuses on the use of double sampling scheme in stratified random sampling for est...
Sugden and Smith (2002. J. Statist. Plann. Inference 102, 25-38) investigated conditions under which...
A general class of estimators for finite population variance is proposed under a two-phase sampling ...
Abstract: In scientific applications, interest usually focuses on the “superpopula-tion ” parameters...