{"id":"https://openalex.org/W2043773284","doi":"https://doi.org/10.1002/cem.968","title":"Representative process sampling for reliable data analysis\u2014a tutorial","display_name":"Representative process sampling for reliable data analysis\u2014a tutorial","publication_year":2005,"publication_date":"2005-11-01","ids":{"openalex":"https://openalex.org/W2043773284","doi":"https://doi.org/10.1002/cem.968","mag":"2043773284"},"language":"en","primary_location":{"id":"doi:10.1002/cem.968","doi":"https://doi.org/10.1002/cem.968","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cem.968","pdf_url":null,"source":{"id":"https://openalex.org/S61773069","display_name":"Journal of Chemometrics","issn_l":"0886-9383","issn":["0886-9383","1099-128X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemometrics","raw_type":"journal-article"},"volume":null,"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/A5057819012","display_name":"Lars Jelstrup Petersen","orcid":"https://orcid.org/0000-0003-2519-983X","observed_orcids":["https://orcid.org/0000-0003-2519-983X"]},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Lars Petersen","raw_affiliation_strings":["Applied Chemometrics, Analytical Chemistry, Applied Biotechnology, Bioenergy & Sampling research group (ACABS), Aalborg University Esbjerg, Niels Bohrs Vej 8, DK-6700 Esbjerg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Chemometrics, Analytical Chemistry, Applied Biotechnology, Bioenergy & Sampling research group (ACABS), Aalborg University Esbjerg, Niels Bohrs Vej 8, DK-6700 Esbjerg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082598572","display_name":"Kim H. Esbensen","orcid":"https://orcid.org/0000-0001-6622-5024","observed_orcids":["https://orcid.org/0000-0001-6622-5024"]},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Kim H. Esbensen","raw_affiliation_strings":["Applied Chemometrics, Analytical Chemistry, Applied Biotechnology, Bioenergy & Sampling research group (ACABS), Aalborg University Esbjerg, Niels Bohrs Vej 8, DK-6700 Esbjerg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Chemometrics, Analytical Chemistry, Applied Biotechnology, Bioenergy & Sampling research group (ACABS), Aalborg University Esbjerg, Niels Bohrs Vej 8, DK-6700 Esbjerg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057819012"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":{"value":3710,"currency":"USD","value_usd":3710},"apc_paid":null,"fwci":5.2968,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.94720714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"19","issue":"11-12","first_page":"625","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.2838999927043915,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.2838999927043915,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.15410000085830688,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.05570000037550926,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/theory-of-sampling","display_name":"Theory of Sampling","score":0.8999999761581421},{"id":"https://openalex.org/keywords/sampling-variance","display_name":"sampling variance","score":0.5059999823570251},{"id":"https://openalex.org/keywords/sampling-bias","display_name":"sampling bias","score":0.9909999966621399},{"id":"https://openalex.org/keywords/variography","display_name":"variography","score":0.753000020980835},{"id":"https://openalex.org/keywords/process-heterogeneity","display_name":"process heterogeneity","score":0.8640000224113464},{"id":"https://openalex.org/keywords/composite-sampling","display_name":"composite sampling","score":0.5630000233650208},{"id":"https://openalex.org/keywords/sampling-rate","display_name":"sampling frequency","score":0.3070000112056732},{"id":"https://openalex.org/keywords/sampling-scheme-design","display_name":"sampling scheme design","score":0.45100000500679016},{"id":"https://openalex.org/keywords/cyclic-behavior","display_name":"cyclic behavior","score":0.4359999895095825},{"id":"https://openalex.org/keywords/long-term-trends","display_name":"long-term trends","score":0.7620000243186951},{"id":"https://openalex.org/keywords/sampling-device","display_name":"sampling equipment","score":0.5550000071525574},{"id":"https://openalex.org/keywords/particulate-matter","display_name":"particulate matter","score":0.7419999837875366},{"id":"https://openalex.org/keywords/slurry","display_name":"slurry","score":0.8349999785423279}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7920363545417786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568302512168884},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.588324248790741},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5790998935699463},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.5444350242614746},{"id":"https://openalex.org/C192489979","wikidata":"https://www.wikidata.org/wiki/Q1502997","display_name":"Systematic sampling","level":2,"score":0.5299267172813416},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49357807636260986},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4773060083389282},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.4648887515068054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4568198323249817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2840569019317627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25079113245010376},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cem.968","doi":"https://doi.org/10.1002/cem.968","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cem.968","pdf_url":null,"source":{"id":"https://openalex.org/S61773069","display_name":"Journal of Chemometrics","issn_l":"0886-9383","issn":["0886-9383","1099-128X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W246618624","https://openalex.org/W1599804049","https://openalex.org/W1981354399","https://openalex.org/W1997056437","https://openalex.org/W1997567080","https://openalex.org/W2022728259","https://openalex.org/W2023948099","https://openalex.org/W2027883279","https://openalex.org/W2034064903","https://openalex.org/W2062882910","https://openalex.org/W2062958886","https://openalex.org/W2065847076","https://openalex.org/W2074553650","https://openalex.org/W2125267711","https://openalex.org/W2259520084","https://openalex.org/W3015634246","https://openalex.org/W3021462254","https://openalex.org/W4242218470","https://openalex.org/W4242661257"],"related_works":["https://openalex.org/W2088558012","https://openalex.org/W2771374537","https://openalex.org/W2062958886","https://openalex.org/W3021462254","https://openalex.org/W2737724653","https://openalex.org/W2626064910","https://openalex.org/W4280523637","https://openalex.org/W2805237825","https://openalex.org/W7166570145","https://openalex.org/W2489478770"],"abstract_inverted_index":{"Abstract":[0],"Process":[1],"sampling":[2,36,43,53,132,159,167,214,233],"of":[3,6,35,64,76,86,101,115,173,180,187,192,220,226,238],"moving":[4],"streams":[5],"particulate":[7],"matter,":[8],"fluids":[9],"and":[10,52,66,92,216,228],"slurries":[11],"(over":[12],"time":[13,111],"or":[14,16,29,112,140,211],"space)":[15],"stationary":[17],"one\u2010dimensional":[18],"(1\u2010D)":[19],"lots":[20,196],"is":[21,197],"often":[22],"carried":[23],"out":[24],"according":[25],"to":[26,118,128,201,206,230],"existing":[27,213],"tradition":[28],"protocol":[30],"not":[31,161],"taking":[32],"the":[33,83,171,178,203,224],"theory":[34],"(TOS)":[37],"into":[38,120],"account.":[39],"In":[40,143],"many":[41],"situations,":[42],"errors":[44],"(sampling":[45],"variances)":[46],"can":[47,55],"be":[48,56,135,163],"reduced":[49],"greatly":[50],"however,":[51],"biases":[54],"eliminated":[57],"completely,":[58],"by":[59,69],"respecting":[60],"a":[61,99,121,166,236],"simple":[62],"set":[63,100],"rules":[65],"guidelines":[67],"provided":[68,198],"TOS.":[70],"A":[71,184,218],"systematic":[72,141],"approach":[73],"for":[74,190,235],"description":[75,186],"process":[77,182,240],"heterogeneity":[78],"furnishes":[79],"in\u2010depth":[80],"knowledge":[81],"about":[82],"specific":[84],"variability":[85],"any":[87,174],"1\u2010D":[88,195],"lot.":[89],"The":[90],"variogram":[91],"its":[93],"derived":[94],"auxiliary":[95],"functions":[96,104],"together":[97],"with":[98,126,165,170],"error":[102],"generating":[103],"provide":[105],"critical":[106],"information":[107],"on:\u2014process":[108],"variation":[109],"over":[110],"space,\u2014the":[113],"number":[114,219],"extracted":[116],"increments":[117],"composite":[119],"final,":[122],"optimal":[123,136,232],"sample,\u2014the":[124],"frequency":[125,172],"which":[127,131],"extract":[129],"increments\u2014and":[130],"scheme":[133],"will":[134,146,160],"(random,":[137],"stratified":[138],"random":[139],"selection).":[142],"addition":[144],"variography":[145,229],"delineate":[147],"cyclic":[148],"behaviors":[149],"as":[150,152],"well":[151],"long\u2010term":[153],"trends":[154],"thereby":[155],"ensuring":[156],"that":[157],"future":[158],"accidentally":[162],"performed":[164],"rate":[168],"coincident":[169],"hidden":[175],"cycle,":[176],"eliminating":[177],"risk":[179],"underestimating":[181],"variation.":[183],"brief":[185],"selected":[188],"hardware":[189],"extraction":[191],"samples":[193],"from":[194],"in":[199],"order":[200],"illustrate":[202,223],"key":[204],"issues":[205],"consider":[207],"when":[208],"installing":[209],"new,":[210],"optimizing":[212],"devices":[215],"procedures.":[217],"practical":[221],"examples":[222],"use":[225],"TOS":[227],"design":[231],"protocols":[234],"variety":[237],"typical":[239],"situations.":[241],"Copyright":[242],"\u00a9":[243],"2006":[244],"John":[245],"Wiley":[246],"&":[247],"Sons,":[248],"Ltd.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
