{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Dumelle M"],"funding":["U.S. Environmental Protection Agency","Intramural EPA","National Oceanic and Atmospheric Administration"],"pagination":["2018-2029"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9628259"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(9)"],"pubmed_abstract":["The design-based and model-based approaches to frequentist statistical inference rest on fundamentally different foundations. In the design-based approach, inference relies on random sampling. In the model-based approach, inference relies on distributional assumptions. We compare the approaches in a finite population spatial context.We provide relevant background for the design-based and model-based approaches and then study their performance using simulated data and real data. The real data is from the United States Environmental Protection Agency's 2012 National Lakes Assessment. A variety of sample sizes, location layouts, dependence structures, and response types are considered. The population mean is the parameter of interest, and performance is measured using statistics like bias, sq"],"journal":["Methods in ecology and evolution"],"pubmed_title":["A comparison of design-based and model-based approaches for finite population spatial sampling and inference."],"pmcid":["PMC9628259"],"funding_grant_id":["EPA999999"],"pubmed_authors":["Dumelle M","Hoef JMV","Higham M","Madsen L","Olsen AR"],"additional_accession":[]},"is_claimable":false,"name":"A comparison of design-based and model-based approaches for finite population spatial sampling and inference.","description":"The design-based and model-based approaches to frequentist statistical inference rest on fundamentally different foundations. In the design-based approach, inference relies on random sampling. In the model-based approach, inference relies on distributional assumptions. We compare the approaches in a finite population spatial context.We provide relevant background for the design-based and model-based approaches and then study their performance using simulated data and real data. The real data is from the United States Environmental Protection Agency's 2012 National Lakes Assessment. A variety of sample sizes, location layouts, dependence structures, and response types are considered. The population mean is the parameter of interest, and performance is measured using statistics like bias, sq","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Sep","modification":"2025-04-04T20:04:23.597Z","creation":"2025-04-04T20:04:23.597Z"},"accession":"S-EPMC9628259","cross_references":{"pubmed":["36340863"],"doi":["10.1111/2041-210x.13919","10.1111/2041-210X.13919"]}}