Add to ORKGThis article introduces the method of balanced sampling and explains how to apply it to the selection of addresses in the context of the French census. SAS macros which perform the analysis are presented. The exposition is accessible to readers with at least an intermediate statistics level. Prior exposure to sampling ideas is useful but not strictly necessary.
The cube method allows the selection of balanced samples on several auxiliary variables with equal o...
Ivers et al. (2012) have recently stressed the importance to both statistical power and face validit...
This paper presents a SAS macro to estimate adaptive spatial sampling, which has been used to survey...
This paper presents a review and assessment of the use of balanced sampling by means of the cube met...
A balanced sampling design is defined by the property that the Horvitz-Thompson estimators of the po...
The development of new sampling methods allows the selection of large balanced samples. In this pape...
Balanced sampling is a very efficient sampling design when the variable of interest is correlated to...
It is often desirable to adjust the weightsofa sample so that its marginal totals on specified chara...
In producing estimates from sample surveys, it is essential to quantify the extent of sampling error...
Sequential sampling occurs when the entire population is not known in advance and data are obtained ...
Household surveys are the most common type of survey used for providing information about the social...
A new spatial sampling method is proposed in order to achieve a double property of balancing. The sa...
Various sampling designs are reviewed within the framework of probability sampling. SAS® code to est...
We present a novel parallel algorithm for drawing balanced samples from large populations. When auxi...
<p>In balanced sampling a linear relation between the soil property of interest and one or more cova...
The cube method allows the selection of balanced samples on several auxiliary variables with equal o...
Ivers et al. (2012) have recently stressed the importance to both statistical power and face validit...
This paper presents a SAS macro to estimate adaptive spatial sampling, which has been used to survey...
This paper presents a review and assessment of the use of balanced sampling by means of the cube met...
A balanced sampling design is defined by the property that the Horvitz-Thompson estimators of the po...
The development of new sampling methods allows the selection of large balanced samples. In this pape...
Balanced sampling is a very efficient sampling design when the variable of interest is correlated to...
It is often desirable to adjust the weightsofa sample so that its marginal totals on specified chara...
In producing estimates from sample surveys, it is essential to quantify the extent of sampling error...
Sequential sampling occurs when the entire population is not known in advance and data are obtained ...
Household surveys are the most common type of survey used for providing information about the social...
A new spatial sampling method is proposed in order to achieve a double property of balancing. The sa...
Various sampling designs are reviewed within the framework of probability sampling. SAS® code to est...
We present a novel parallel algorithm for drawing balanced samples from large populations. When auxi...
<p>In balanced sampling a linear relation between the soil property of interest and one or more cova...
The cube method allows the selection of balanced samples on several auxiliary variables with equal o...
Ivers et al. (2012) have recently stressed the importance to both statistical power and face validit...
This paper presents a SAS macro to estimate adaptive spatial sampling, which has been used to survey...