A proper analysis o f survey data requires that sampling design be taken into account, when conclusions are wanted about finite population. However, many computer programs fo r standard statistical analysis implicitly assumes simple random sampling. Accordingly, this study undertakes to examine the effect o f proportional stratified sampling on the common type o f simple statistical analysis. The result o f the study indicates that the usual use o f standard procedures can lead to erroneous variance estimate and therefore invalid conclusions
In the survey sampling literature, using auxiliary information increase the efficiency of estimators...
This paper considers the combined problem of allocation and stratification in order to minimise the ...
statistical learning; data mining A well-designed sampling plan can greatly enhance the information ...
In various surveys, presence of measurement errors has led to misleading results in estimation of va...
Sampling is one of the methods of selecting and analyzing specific qualities which refer to statisti...
AbstractIn finite sampling it is widely believed that the probability sampling distribution is irrel...
Mathematical statistics has been used in various areas because of its accurate and objective results...
The sampling strategy that couples probability proportional-to-size sampling with the GREG estimator...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This study reviewed the purpose and practice of weighting, particularly as regards disproportionatel...
A well-designed sampling plan can greatly enhance the information that can be produced from a survey...
Systematic sampling is widely used technique in survey sampling. It is easy to execute, whether the ...
This paper considers the combined problem of allocation and stratification in order to minimise the ...
Abstract: In scientific applications, interest usually focuses on the “superpopula-tion ” parameters...
A special case of stratified samples is considered where each stratum has the same number of units a...
In the survey sampling literature, using auxiliary information increase the efficiency of estimators...
This paper considers the combined problem of allocation and stratification in order to minimise the ...
statistical learning; data mining A well-designed sampling plan can greatly enhance the information ...
In various surveys, presence of measurement errors has led to misleading results in estimation of va...
Sampling is one of the methods of selecting and analyzing specific qualities which refer to statisti...
AbstractIn finite sampling it is widely believed that the probability sampling distribution is irrel...
Mathematical statistics has been used in various areas because of its accurate and objective results...
The sampling strategy that couples probability proportional-to-size sampling with the GREG estimator...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This study reviewed the purpose and practice of weighting, particularly as regards disproportionatel...
A well-designed sampling plan can greatly enhance the information that can be produced from a survey...
Systematic sampling is widely used technique in survey sampling. It is easy to execute, whether the ...
This paper considers the combined problem of allocation and stratification in order to minimise the ...
Abstract: In scientific applications, interest usually focuses on the “superpopula-tion ” parameters...
A special case of stratified samples is considered where each stratum has the same number of units a...
In the survey sampling literature, using auxiliary information increase the efficiency of estimators...
This paper considers the combined problem of allocation and stratification in order to minimise the ...
statistical learning; data mining A well-designed sampling plan can greatly enhance the information ...