{"id":"https://openalex.org/W2915687212","doi":"https://doi.org/10.1080/03610918.2018.1547401","title":"Design-consistent model-based variances with systematic sampling: a case study with the Danish national Forest inventory","display_name":"Design-consistent model-based variances with systematic sampling: a case study with the Danish national Forest inventory","publication_year":2019,"publication_date":"2019-02-18","ids":{"openalex":"https://openalex.org/W2915687212","doi":"https://doi.org/10.1080/03610918.2018.1547401","mag":"2915687212"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1547401","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1547401","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058680235","display_name":"Steen Magnussen","orcid":"https://orcid.org/0000-0002-5655-768X"},"institutions":[{"id":"https://openalex.org/I1280367701","display_name":"Canadian Forest Service","ror":"https://ror.org/0430zw506","country_code":"CA","type":"government","lineage":["https://openalex.org/I1280367701","https://openalex.org/I1281735042","https://openalex.org/I2802286613"]},{"id":"https://openalex.org/I1281735042","display_name":"Natural Resources Canada","ror":"https://ror.org/05hepy730","country_code":"CA","type":"government","lineage":["https://openalex.org/I1281735042","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Steen Magnussen","raw_affiliation_strings":["Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada;","institution_ids":["https://openalex.org/I1280367701","https://openalex.org/I1281735042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075519362","display_name":"Thomas Nord\u2010Larsen","orcid":"https://orcid.org/0000-0002-5341-6435"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Thomas Nord-Larsen","raw_affiliation_strings":["Faculty of Science, University of Copenhagen, Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058680235"],"corresponding_institution_ids":["https://openalex.org/I1280367701","https://openalex.org/I1281735042"],"apc_list":null,"apc_paid":null,"fwci":1.2281,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78233518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"50","issue":"1","first_page":"38","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.8451149463653564},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.7600129842758179},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7318747639656067},{"id":"https://openalex.org/keywords/sampling-design","display_name":"Sampling design","score":0.6715871095657349},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.621207058429718},{"id":"https://openalex.org/keywords/simple-random-sample","display_name":"Simple random sample","score":0.559357762336731},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5119944214820862},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4802810847759247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43024134635925293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33194616436958313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15335044264793396}],"concepts":[{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.8451149463653564},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7600129842758179},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7318747639656067},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.6715871095657349},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.621207058429718},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.559357762336731},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5119944214820862},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4802810847759247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43024134635925293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33194616436958313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15335044264793396},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610918.2018.1547401","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1547401","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/fd8bf434-b961-4cb2-b7a5-4dca78638671","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/fd8bf434-b961-4cb2-b7a5-4dca78638671","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Magnussen , S & Nord-Larsen , T 2021 , ' Design-consistent model-based variances with systematic sampling : a case study with the Danish national Forest inventory ' , Communications in Statistics: Simulation and Computation , vol. 50 , pp. 38-48 . https://doi.org/10.1080/03610918.2018.1547401","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W6339556","https://openalex.org/W99958601","https://openalex.org/W103650626","https://openalex.org/W109664133","https://openalex.org/W643769934","https://openalex.org/W1530144319","https://openalex.org/W1565931144","https://openalex.org/W1966860618","https://openalex.org/W1973429805","https://openalex.org/W1984985694","https://openalex.org/W1998732820","https://openalex.org/W2004349386","https://openalex.org/W2004461456","https://openalex.org/W2008838634","https://openalex.org/W2029685080","https://openalex.org/W2058631965","https://openalex.org/W2076421674","https://openalex.org/W2083358939","https://openalex.org/W2085289178","https://openalex.org/W2103549993","https://openalex.org/W2119436275","https://openalex.org/W2163792624","https://openalex.org/W2310706575","https://openalex.org/W2567289819","https://openalex.org/W2762185786","https://openalex.org/W2797957951","https://openalex.org/W2889784734","https://openalex.org/W3015238844","https://openalex.org/W3109602128","https://openalex.org/W3216469110","https://openalex.org/W4241861175","https://openalex.org/W4248415074","https://openalex.org/W4249743219"],"related_works":["https://openalex.org/W4313645560","https://openalex.org/W2171171008","https://openalex.org/W4297686948","https://openalex.org/W3043225335","https://openalex.org/W4238714840","https://openalex.org/W1988526522","https://openalex.org/W2132531707","https://openalex.org/W4232176432","https://openalex.org/W4292712310","https://openalex.org/W2350399852"],"abstract_inverted_index":{"To":[0],"gauge,":[1],"whether":[2],"variances":[3],"in":[4,63,80,91],"density":[5],"estimates":[6,77],"computed":[7],"under":[8],"an":[9],"assumption":[10],"of":[11,46,65,70,78,82,94],"a":[12,25,50],"simple":[13],"random":[14,51],"sampling":[15],"(SRS)":[16],"are":[17,56],"inflated":[18],"\u2013":[19],"when":[20],"the":[21,44,60],"actual":[22,61],"design":[23,62],"ensures":[24],"spatial":[26],"balance,":[27],"we":[28],"obtained":[29],"design-consistent,":[30],"model-based":[31,47],"estimators":[32],"from":[33],"simulations":[34],"with":[35],"replicate":[36,71],"samples":[37],"and":[38,49,68],"anticipated":[39],"data.":[40],"Anticipated":[41],"data":[42],"is":[43],"sum":[45],"predictions":[48],"residual":[52],"error.":[53],"Two":[54],"designs":[55],"employed,":[57],"they":[58],"bracket":[59],"terms":[64],"plot":[66],"size":[67],"number":[69],"samples.":[72],"Results":[73],"indicate":[74],"that":[75],"SRS":[76],"uncertainty":[79],"ratios":[81,93],"totals":[83,95],"have":[84],"underestimated":[85,97],"precision":[86,90],"by":[87,98],"30%":[88],"whereas":[89],"model-assisted":[92],"was":[96],"14%.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
