"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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[12] Statistical considerations for monitoring and sampling In: Field Manuals for Marine Sampling to Monitor Australian Waters
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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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[18] Random sampling with repulsion
[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
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[21] Spatially balanced sampling: a review and a reappraisal
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[22] Spatially‐Balanced Designs that Incorporate Legacy Sites
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[23] Determinants of Switching From Peritoneal to Hemodialysis in Preserving Residual Renal Function
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[24] Inventory strategies for monitoring and evaluation of forest damage
[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
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[27] Probability Sampling Designs: Principles for Choice of Design and Balancing
[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
[30] Statistical challenges in observational cohort studies
[31] Incorporating spatial and operational constraints in the sampling designs for forest inventories
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[32] Use of remotely sensed auxiliary data for improving sample-based forest inventories
[33] SOURCE (OR PART OF THE FOLLOWING SOURCE): Type PhD thesis Title Statistical challenges in observational cohort studies
[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
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[37] The Use of Spatial Sampling Designs in Business Surveys
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[38] UvA-DARE (Digital Academic Repository)
[39] A new approach to adaptive monitoring
[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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