Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
By Anton Grafström, Yves Tillé. 2013
129 citations recorded by the source corpus.
Subfields: Environmental Engineering, Statistics and Probability, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/a36709b45aa1ca3ea6c961f6b6648268f6642848
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Anton Grafström
- Lina Schelin
- Diego Giuliani
- Giuseppe Espa
- Yves Tillé
- Maria Michela Dickson
- Niklas L. P. Lundström
In Statistics and Probability
- Anton Grafström
- Lina Schelin
- Yves Tillé
- Diego Giuliani
- Giuseppe Espa
- Maria Michela Dickson
- Niklas L. P. Lundström
In Water Science and Technology
- Lina Schelin
- Anton Grafström
- Yves Tillé
- Diego Giuliani
- Giuseppe Espa
- Maria Michela Dickson
- Niklas L. P. Lundström
Citations in the corpus
- Measuring the spatial balance of a sample: A new measure based on the Moran's I index (2017, background): “…units that are well spread in space, or say the spatially balanced samples, tend to provide relatively more efficient estimates of the population Preprint submitted to arXiv.org April 30, 2018 mean or total (see, among others, Grafström et al., 2012; Grafström, 2012; Grafström and Tillé, 2013).”
- How to Select Representative Samples (2014, methodology): “A new method that allows to select samples that are both well spread and balanced was recently introduced by Grafström & Tillé (2013).”