Why Well Spread Probability Samples Are Balanced

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Open Journal of Statistics

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ISSN Online: 2161-7198
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"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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[55]	Forest damage inventory using the local pivotal sampling method
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[57]	Optimising nearest neighbour information—a simple, efficient sampling strategy for forestry plot imputation using remotely sensed data
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[61]	Use of remotely sensed auxiliary data for improving sample-based forest inventories
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[63]	How to select representative samples
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[64]	Efficient sampling strategies for forest inventories by spreading the sample in auxiliary space
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[65]	Adaptive list sequential sampling method for population-based observational studies
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[66]	The Use of Spatial Sampling Designs in Business Surveys
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[70]	Improving forest field inventories by using remote sensing data in novel sampling designs
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[8]	A sampling strategy for assessing habitat coverage at a broad spatial scale Ecological Indicators, 2022 DOI:10.1016/j.ecolind.2022.109352

[9]	Halton iterative partitioning master frames Environmental and Ecological Statistics, 2022 DOI:10.1007/s10651-020-00481-1

[10]	Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials International Statistical Review, 2022 DOI:10.1111/insr.12498

[11]	Spatiotemporal sampling with spatial spreading and rotation of units in time Spatial Statistics, 2022 DOI:10.1016/j.spasta.2022.100613

[12]	A sampling strategy for assessing habitat coverage at a broad spatial scale Ecological Indicators, 2022 DOI:10.1016/j.ecolind.2022.109352

[13]	A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference Methods in Ecology and Evolution, 2022 DOI:10.1111/2041-210X.13919

[14]	Spatially Balanced Sampling with Local Ranking Journal of Agricultural, Biological and Environmental Statistics, 2022 DOI:10.1007/s13253-022-00501-6

[15]	Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials International Statistical Review, 2022 DOI:10.1111/insr.12498

[16]	Sequential spatially balanced sampling Environmetrics, 2022 DOI:10.1002/env.2776

[17]	Improving Estimates of Natural Resources Using Model-Based Estimators: Impacts of Sample Design, Estimation Technique, and Strengths of Association Remote Sensing, 2021 DOI:10.3390/rs13193893

[18]	21st Century Planning Techniques for Creating Fire-Resilient Forests in the American West Forests, 2021 DOI:10.3390/f12081084

[19]	Setting up an efficient survey of Aedes albopictus in an unfamiliar urban area Urban Ecosystems, 2021 DOI:10.1007/s11252-020-01041-y

[20]	MBHdesign: An R‐package for efficient spatial survey designs Methods in Ecology and Evolution, 2021 DOI:10.1111/2041-210X.13535

[21]	Unconventional Monetary Policy and Wealth Inequalities in Great Britain* Oxford Bulletin of Economics and Statistics, 2021 DOI:10.1111/obes.12397

[22]	Spatially balanced designs for transect‐based surveys Methods in Ecology and Evolution, 2020 DOI:10.1111/2041-210X.13321

[23]	Comparison of the local pivotal method and systematic sampling for national forest inventories Forest Ecosystems, 2020 DOI:10.1186/s40663-020-00266-9

[24]	Sampling and Estimation from Finite Populations 2020 DOI:10.1002/9781119071259.biblio

[25]	Spatial Spread Sampling Using Weakly Associated Vectors Journal of Agricultural, Biological and Environmental Statistics, 2020 DOI:10.1007/s13253-020-00407-1

[26]	Unconventional Monetary Policy and Wealth Inequalities in Great Britain Oxford Bulletin of Economics and Statistics, 2020 DOI:10.1111/obes.12397

[27]	MBHdesign: An R‐package for efficient spatial survey designs Methods in Ecology and Evolution, 2020 DOI:10.1111/2041-210X.13535

[28]	Spatially balanced sampling designs for environmental surveys Environmental Monitoring and Assessment, 2019 DOI:10.1007/s10661-019-7666-y

[29]	Designing Monitoring Programs for Marine Protected Areas Within an Evidence Based Decision Making Paradigm Frontiers in Marine Science, 2019 DOI:10.3389/fmars.2019.00746

[30]	Spatially balanced designs for transect‐based surveys Methods in Ecology and Evolution, 2019 DOI:10.1111/2041-210X.13321

[31]	Théorie des sondages 2019 DOI:10.3917/dunod.tille.2019.01.0421

[32]	Effect of permanent plots on the relative efficiency of spatially balanced sampling in a national forest inventory Annals of Forest Science, 2019 DOI:10.1007/s13595-019-0802-6

[33]	Optimizing cost-efficiency of long term monitoring programs by using spatially balanced sampling designs: The case of manila clams in Arcachon bay Ecological Informatics, 2019 DOI:10.1016/j.ecoinf.2018.11.005

[34]	Remotely sensed data controlled forest inventory concept European Journal of Remote Sensing, 2018 DOI:10.1080/22797254.2017.1403295

[35]	Identifying and detecting potentially adverse ecological outcomes associated with the release of gene-drive modified organisms Journal of Responsible Innovation, 2018 DOI:10.1080/23299460.2017.1415585

[36]	Spatially Balanced Sampling of Continuous Populations Scandinavian Journal of Statistics, 2018 DOI:10.1111/sjos.12322

[37]	Using balanced acceptance sampling as a master sample for environmental surveys Methods in Ecology and Evolution, 2018 DOI:10.1111/2041-210X.13003

[38]	Assessment of sampling strategies utilizing auxiliary information in large-scale forest inventory Canadian Journal of Forest Research, 2018 DOI:10.1139/cjfr-2017-0414

[39]	Halton iterative partitioning: spatially balanced sampling via partitioning Environmental and Ecological Statistics, 2018 DOI:10.1007/s10651-018-0406-6

[40]	Spatially Balanced Sampling of Continuous Populations Scandinavian Journal of Statistics, 2018 DOI:10.1111/sjos.12322

[41]	Using balanced acceptance sampling as a master sample for environmental surveys Methods in Ecology and Evolution, 2018 DOI:10.1111/2041-210X.13003

[42]	The continuous population approach to forest inventories and use of information in the design Environmetrics, 2017 DOI:10.1002/env.2480

[43]	Spatially Balanced Sampling: A Review and A Reappraisal International Statistical Review, 2017 DOI:10.1111/insr.12216

[44]	Spatially balanced designs that incorporate legacy sites Methods in Ecology and Evolution, 2017 DOI:10.1111/2041-210X.12782

[45]	Forest damage inventory using the local pivotal sampling method Canadian Journal of Forest Research, 2017 DOI:10.1139/cjfr-2016-0411

[46]	Spatially Balanced Sampling: A Review and A Reappraisal International Statistical Review, 2017 DOI:10.1111/insr.12216

[47]	Spatially balanced designs that incorporate legacy sites Methods in Ecology and Evolution, 2017 DOI:10.1111/2041-210X.12782

[48]	A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory Canadian Journal of Forest Research, 2017 DOI:10.1139/cjfr-2017-0095

[49]	The continuous population approach to forest inventories and use of information in the design Environmetrics, 2017 DOI:10.1002/env.2480

[50]	Probability Sampling Designs: Principles for Choice of Design and Balancing Statistical Science, 2017 DOI:10.1214/16-STS606

[51]	Optimising nearest neighbour information—a simple, efficient sampling strategy for forestry plot imputation using remotely sensed data Australian Forestry, 2016 DOI:10.1080/00049158.2016.1218265

[52]	Sampling Spatial Units for Agricultural Surveys Advances in Spatial Science, 2015 DOI:10.1007/978-3-662-46008-5_7

[53]	Sampling Spatial Units for Agricultural Surveys Advances in Spatial Science, 2015 DOI:10.1007/978-3-662-46008-5_7

[54]	Incorporating spatial and operational constraints in the sampling designs for forest inventories Environmetrics, 2015 DOI:10.1002/env.2366

[55]	Incorporating spatial and operational constraints in the sampling designs for forest inventories Environmetrics, 2015 DOI:10.1002/env.2366

[56]	How to Select Representative Samples Scandinavian Journal of Statistics, 2014 DOI:10.1111/sjos.12016

[57]	Adaptive list sequential sampling method for population-based observational studies BMC Medical Research Methodology, 2014 DOI:10.1186/1471-2288-14-81

[58]	How to Select Representative Samples Scandinavian Journal of Statistics, 2014 DOI:10.1111/sjos.12016

[59]	Efficient sampling strategies for forest inventories by spreading the sample in auxiliary space Canadian Journal of Forest Research, 2014 DOI:10.1139/cjfr-2014-0202

[60]	The Use of Spatial Sampling Designs in Business Surveys Open Journal of Statistics, 2014 DOI:10.4236/ojs.2014.45034

[61]	Improving forest field inventories by using remote sensing data in novel sampling designs Canadian Journal of Forest Research, 2013 DOI:10.1139/cjfr-2013-0123

[62]	BAS: Balanced Acceptance Sampling of Natural Resources Biometrics, 2013 DOI:10.1111/biom.12059

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