This article presents a modification of balanced acceptance sampling (BAS) that causes inclusion probabilities to better approximate targeted inclusion probabilities. A new sample frame constructor for BAS is also introduced from which equi-probable spatially balanced samples are drawn
Some environmental studies use non-probabilistic sampling designs to draw samples from spatially dis...
<p>In balanced sampling a linear relation between the soil property of interest and one or more cova...
spsurvey is an R package for design-based statistical inference, with a focus on spatial data. spsur...
A spatial sampling design determines where sample locations are placed in a study area. The main ob...
Ranked set sampling is a design that can increase sample efficiency by forcing sample coverage over th...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
Spatially balanced sampling is an emerging area in statistical sampling. These designs are popular b...
AbstractSpatially balanced sampling is becoming a popular design for surveys in biological and envir...
AbstractSpatially balanced sampling is becoming a popular design for surveys in biological and envir...
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...
1. Well‐designed environmental monitoring programmes for management organisations are important for ...
A new method for sampling from a finite population that is spread in one, two or more dimensions is ...
A new spatial sampling method is proposed in order to achieve a double property of balancing. The sa...
Some environmental studies use non-probabilistic sampling designs to draw samples from spatially dis...
<p>In balanced sampling a linear relation between the soil property of interest and one or more cova...
spsurvey is an R package for design-based statistical inference, with a focus on spatial data. spsur...
A spatial sampling design determines where sample locations are placed in a study area. The main ob...
Ranked set sampling is a design that can increase sample efficiency by forcing sample coverage over th...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
A spatial sampling design determines where sample locations are placed in a study area. To achieve r...
Spatially balanced sampling is an emerging area in statistical sampling. These designs are popular b...
AbstractSpatially balanced sampling is becoming a popular design for surveys in biological and envir...
AbstractSpatially balanced sampling is becoming a popular design for surveys in biological and envir...
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...
1. Well‐designed environmental monitoring programmes for management organisations are important for ...
A new method for sampling from a finite population that is spread in one, two or more dimensions is ...
A new spatial sampling method is proposed in order to achieve a double property of balancing. The sa...
Some environmental studies use non-probabilistic sampling designs to draw samples from spatially dis...
<p>In balanced sampling a linear relation between the soil property of interest and one or more cova...
spsurvey is an R package for design-based statistical inference, with a focus on spatial data. spsur...
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