[1]
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Balanced and spatially balanced sampling
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NULL |
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[2]
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BalancedSampling-package
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NULL |
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[3]
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Spatially Balanced Sampling with Local Ranking
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Journal of Agricultural …,
2022 |
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[4]
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Spbsampling: An R Package for Spatially Balanced Sampling
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Journal of Statistical …,
2022 |
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[5]
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A sampling strategy for assessing habitat coverage at a broad spatial scale
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Ecological …,
2022 |
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[6]
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Spatiotemporal sampling with spatial spreading and rotation of units in time
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Spatial Statistics,
2022 |
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[7]
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Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials
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International Statistical Review,
2022 |
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[8]
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A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference
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Methods in Ecology …,
2022 |
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[9]
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21st Century Planning Techniques for Creating Fire-Resilient Forests in the American West
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Forests,
2021 |
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[10]
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Sequential Spatially Balanced Sampling
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arXiv preprint arXiv:2112.01164,
2021 |
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[11]
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Design-based sampling methods for environmental monitoring
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2021 |
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[12]
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A sample coordination method to monitor totals of environmental variables
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Design-based sampling methods for …,
2021 |
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[13]
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Improving Estimates of Natural Resources Using Model-Based Estimators: Impacts of Sample Design, Estimation Technique, and Strengths of Association
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Remote Sensing,
2021 |
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[14]
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Spatially balanced indirect sampling to estimate the coverage of the agricultural census
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2021 |
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[15]
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Unconventional monetary policy and wealth inequalities in great britain
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2021 |
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[16]
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MBHdesign: An R‐package for efficient spatial survey designs
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2021 |
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[17]
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Halton iterative partitioning master frames
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2021 |
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[18]
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Variance Approximation Approaches For The Local Pivotal Method
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2021 |
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[19]
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Setting up an efficient survey of Aedes albopictus in an unfamiliar urban area
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2020 |
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[20]
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Introducing the use of spatially balanced sampling for livestock disease detection through an interactive web app
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2020 |
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[21]
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Comparison of the local pivotal method and systematic sampling for national forest inventories
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2020 |
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[22]
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VARIANCE ESTIMATION FOR THE HORVITZ-THOMPSON TOTAL ESTIMATOR IN UNEQUALPROBABILITYSAMPLING DESIGNS
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2019 |
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[23]
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Optimisation de protocoles d'échantillonage appliqués aux suivis de la biodiversité et des ressources
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2019 |
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[24]
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Designing monitoring programs for marine protected areas within an evidence based decision making paradigm
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2019 |
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[25]
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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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2019 |
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[26]
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BalancedSampling-package: Balanced and Spatially Balanced Sampling
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2019 |
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[27]
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Théorie des sondages-2e éd.: Échantillonnage et estimation en populations finies. Cours et exercices corrigés
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2019 |
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[28]
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Handling auxiliary variables in survey sampling and nonresponse
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2019 |
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[29]
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Spatially balanced sampling designs for environmental surveys
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2019 |
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[30]
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Spatially balanced designs for transect‐based surveys
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2019 |
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[31]
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Spatial Spread Sampling Using Weakly Associated Vectors
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2019 |
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[32]
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SamplingBigData-package: Sampling Methods for Big Data
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2019 |
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[33]
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Designing monitoring programmes for Marine Protected Areas within an Evidence Based Decision Making paradigm
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2019 |
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[34]
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Effect of permanent plots on the relative efficiency of spatially balanced sampling in a national forest inventory
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2019 |
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[35]
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Statistical Considerations for Monitoring and Sampling
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2018 |
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[36]
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Identifying and detecting potentially adverse ecological outcomes associated with the release of gene-drive modified organisms
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International Journal of Environmental Studies,
2018 |
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[37]
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Halton iterative partitioning: spatially balanced sampling via partitioning
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Environmental and Ecological Statistics,
2018 |
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[38]
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Using balanced acceptance sampling as a master sample for environmental surveys
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Methods in Ecology and Evolution,
2018 |
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[39]
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Statistical considerations for monitoring and sampling In: Field Manuals for Marine Sampling to Monitor Australian Waters
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2018 |
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[40]
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Assessment of sampling strategies utilizing auxiliary information in large-scale forest inventory
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Canadian Journal of Forest Research,
2018 |
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[41]
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Spatially Balanced Sampling of Continuous Populations
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Scandinavian Journal of Statistics,
2018 |
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[42]
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Exploring the Role of Religious Leaders in Preventing Sickle Cell Disease in Nigeria
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Walden Dissertations and Doctoral Studies,
2018 |
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[43]
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ÉCHANTILLONNAGE SPATIAL: L'ÉTAT DE L'ART
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Journées de Méthodologie Statistique,
2018 |
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[44]
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Remotely sensed data controlled forest inventory concept
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Archives of Agronomy and Soil Science,
2018 |
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[45]
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éCHANTILLONNAGE SPATIAL VIA DES DISTANCES SOCIO-éCONOMIQUES: COMPARAISON DE MéTHODES POUR LE TIRAGE D'UN éCHANTILLON-MA?TRE
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Journées de méthodologie statistique de l’Insee (JMS),
2018 |
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[46]
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Statistical Considerations for Monitoring and Sampling [Version 1].[SUPERSEDED by
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2018 |
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[47]
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A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory
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Canadian Journal of Forest Research,
2017 |
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[48]
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Random sampling with repulsion
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2017 |
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[49]
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The continuous population approach to forest inventories and use of information in the design
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Environmetrics,
2017 |
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[50]
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Spatially balanced designs that incorporate legacy sites
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Methods in Ecology and Evolution,
2017 |
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[51]
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Spatially balanced sampling: a review and a reappraisal
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International Statistical Review,
2017 |
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[52]
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Spatially‐Balanced Designs that Incorporate Legacy Sites
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Methods in Ecology and Evolution,
2017 |
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[53]
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Determinants of Switching From Peritoneal to Hemodialysis in Preserving Residual Renal Function
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Walden Dissertations and Doctoral Studies,
2017 |
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[54]
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Inventory strategies for monitoring and evaluation of forest damage
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2017 |
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[55]
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Forest damage inventory using the local pivotal sampling method
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Canadian Journal of Forest Research,
2017 |
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[56]
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Probability Sampling Designs: Principles for Choice of Design and Balancing
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2016 |
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[57]
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Optimising nearest neighbour information—a simple, efficient sampling strategy for forestry plot imputation using remotely sensed data
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International Journal of Disability Development and Education,
2016 |
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[58]
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Metodi di campionamento spaziale per la selezione di campioni rappresentativi di imprese
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2016 |
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[59]
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Statistical challenges in observational cohort studies
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2015 |
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[60]
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Incorporating spatial and operational constraints in the sampling designs for forest inventories
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Environmetrics,
2015 |
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[61]
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Use of remotely sensed auxiliary data for improving sample-based forest inventories
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2015 |
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[62]
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SOURCE (OR PART OF THE FOLLOWING SOURCE): Type PhD thesis Title Statistical challenges in observational cohort studies
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2015 |
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[63]
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How to select representative samples
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Scandinavian Journal of Statistics,
2014 |
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[64]
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Efficient sampling strategies for forest inventories by spreading the sample in auxiliary space
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Canadian Journal of Forest Research,
2014 |
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[65]
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Adaptive list sequential sampling method for population-based observational studies
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BMC medical research methodology,
2014 |
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[66]
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The Use of Spatial Sampling Designs in Business Surveys
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Open Journal of Statistics,
2014 |
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[67]
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UvA-DARE (Digital Academic Repository)
|
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2014 |
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[68]
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A new approach to adaptive monitoring
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2014 |
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[69]
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BAS: Balanced acceptance sampling of natural resources
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Biometrics,
2013 |
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[70]
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Improving forest field inventories by using remote sensing data in novel sampling designs
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Canadian Journal of Forest Research,
2013 |
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[71]
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Will there be faith? A new vision for education and growing disciples
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2013 |
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