Alternative and complementary approaches to spatially balanced samples
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Publication:1689524
DOI10.1007/s40300-017-0123-1zbMath1392.62020OpenAlexW2754500024MaRDI QIDQ1689524
Paolo Postiglione, Roberto Benedetti, Federica Piersimoni
Publication date: 12 January 2018
Published in: Metron (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40300-017-0123-1
spatial stratificationtraveling salesman problemspatial dependencespatial indexinggeneralized random tessellation stratified design
Related Items (5)
Efficient design of geographically-defined clusters with spatial autocorrelation ⋮ Foreword to the special issue on ``Advances in survey statistics ⋮ Alternative and complementary approaches to spatially balanced samples ⋮ Spatial Sampling for Non‐compact Patterns ⋮ Spatial spread sampling using weakly associated vectors
Uses Software
Cites Work
- Spatially Balanced Sampling through the Pivotal Method
- Spatially correlated Poisson sampling
- Ordered spatial sampling by means of the traveling salesman problem
- Calibration estimation in dual-frame surveys
- Model-based variance estimation in non-measurable spatial designs
- A fast algorithm for balanced sampling
- Sampling plans excluding contiguous units
- Alternative and complementary approaches to spatially balanced samples
- Penalized balanced sampling
- Efficient balanced sampling: The cube method
- Unequal probability sampling without replacement through a splitting method
- Inference from Dual Frame Surveys
- Collecting Spatial Data
- A spatially balanced design with probability function proportional to the within sample distance
- An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes
- Spatially Balanced Sampling of Natural Resources
- Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
- Design‐based strategies for sampling spatial units from regular grids with applications to forest surveys, land use, and land cover estimation
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