"Why Well Spread Probability Samples Are Balanced"
written by Anton Grafström, Niklas L. P. Lundström,
published by Open Journal of Statistics, Vol.3 No.1, 2013
has been cited by the following article(s):
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[4] Optimizing cost-efficiency of long term monitoring programs by using spatially balanced sampling designs: The case of manila clams in Arcachon bay
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[5] BalancedSampling-package: Balanced and Spatially Balanced Sampling
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[6] Théorie des sondages-2e éd.: Échantillonnage et estimation en populations finies. Cours et exercices corrigés
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[7] Handling auxiliary variables in survey sampling and nonresponse
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[8] Statistical Considerations for Monitoring and Sampling
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[10] Halton iterative partitioning: spatially balanced sampling via partitioning
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[11] Using balanced acceptance sampling as a master sample for environmental surveys
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[12] Statistical considerations for monitoring and sampling In: Field Manuals for Marine Sampling to Monitor Australian Waters
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[13] Assessment of sampling strategies utilizing auxiliary information in large-scale forest inventory
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[14] Spatially Balanced Sampling of Continuous Populations
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[15] Exploring the Role of Religious Leaders in Preventing Sickle Cell Disease in Nigeria
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[16] ÉCHANTILLONNAGE SPATIAL: L'ÉTAT DE L'ART
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[17] Remotely sensed data controlled forest inventory concept
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[18] Random sampling with repulsion
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[19] The continuous population approach to forest inventories and use of information in the design
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[20] Spatially balanced designs that incorporate legacy sites
Methods in Ecology and Evolution, 2017
[21] Spatially balanced sampling: a review and a reappraisal
International Statistical Review, 2017
[22] Spatially‐Balanced Designs that Incorporate Legacy Sites
Methods in Ecology and Evolution, 2017
[23] Determinants of Switching From Peritoneal to Hemodialysis in Preserving Residual Renal Function
Walden Dissertations and Doctoral Studies, 2017
[24] Inventory strategies for monitoring and evaluation of forest damage
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[25] Forest damage inventory using the local pivotal sampling method
Canadian Journal of Forest Research, 2017
[26] A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory
Canadian Journal of Forest Research, 2017
[27] Probability Sampling Designs: Principles for Choice of Design and Balancing
2016
[28] Optimising nearest neighbour information—a simple, efficient sampling strategy for forestry plot imputation using remotely sensed data
International Journal of Disability Development and Education, 2016
[29] Metodi di campionamento spaziale per la selezione di campioni rappresentativi di imprese
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[30] Statistical challenges in observational cohort studies
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[31] Incorporating spatial and operational constraints in the sampling designs for forest inventories
Environmetrics, 2015
[32] Use of remotely sensed auxiliary data for improving sample-based forest inventories
2015
[33] SOURCE (OR PART OF THE FOLLOWING SOURCE): Type PhD thesis Title Statistical challenges in observational cohort studies
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[34] How to select representative samples
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[35] Efficient sampling strategies for forest inventories by spreading the sample in auxiliary space
Canadian Journal of Forest Research, 2014
[36] Adaptive list sequential sampling method for population-based observational studies
BMC medical research methodology, 2014
[37] The Use of Spatial Sampling Designs in Business Surveys
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[38] UvA-DARE (Digital Academic Repository)
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[39] A new approach to adaptive monitoring
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[40] BAS: Balanced acceptance sampling of natural resources
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[41] Improving forest field inventories by using remote sensing data in novel sampling designs
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