Spatial spread sampling using weakly associated vectors
From MaRDI portal
Publication:2209877
DOI10.1007/s13253-020-00407-1OpenAlexW3045476953MaRDI QIDQ2209877
Publication date: 5 November 2020
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.13152
Related Items (2)
Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials ⋮ Optimal two-stage spatial sampling design for estimating critical parameters of SARS-CoV-2 epidemic: efficiency versus feasibility
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Spatially Balanced Sampling through the Pivotal Method
- Spatially correlated Poisson sampling
- Ordered spatial sampling by means of the traveling salesman problem
- Sample surveys: Design, methods and applications.
- RcppArmadillo: accelerating R with high-performance C++ linear algebra
- Alternative and complementary approaches to spatially balanced samples
- Probability sampling designs: principles for choice of design and balancing
- Sampling algorithms.
- Efficient balanced sampling: The cube method
- Unequal probability sampling without replacement through a splitting method
- Some optimal designs for sampling in two dimensions
- Sampling and Estimation from Finite Populations
- How to Select Representative Samples
- Spatially Balanced Sampling of Natural Resources
- Problems in Plane Sampling
- NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
- Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
- Incorporating spatial and operational constraints in the sampling designs for forest inventories
This page was built for publication: Spatial spread sampling using weakly associated vectors
