{"id":"https://openalex.org/W2087938803","doi":"https://doi.org/10.1198/00401700152672555","title":"A Robust Criterion for Experimental Designs for Serially Correlated Observations","display_name":"A Robust Criterion for Experimental Designs for Serially Correlated Observations","publication_year":2001,"publication_date":"2001-11-01","ids":{"openalex":"https://openalex.org/W2087938803","doi":"https://doi.org/10.1198/00401700152672555","mag":"2087938803"},"language":"en","primary_location":{"id":"doi:10.1198/00401700152672555","is_oa":false,"landing_page_url":"https://doi.org/10.1198/00401700152672555","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","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/A5079856225","display_name":"Julie Zhou","orcid":"https://orcid.org/0000-0002-4876-4080"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Julie Zhou","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 3P4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 3P4, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079856225"],"corresponding_institution_ids":["https://openalex.org/I212119943"],"apc_list":null,"apc_paid":null,"fwci":1.0417,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7967159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"43","issue":"4","first_page":"462","last_page":"467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fractional-factorial-design","display_name":"Fractional factorial design","score":0.7767256498336792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5848390460014343},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5744464993476868},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.530206561088562},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5152754783630371},{"id":"https://openalex.org/keywords/factorial-experiment","display_name":"Factorial experiment","score":0.5121142864227295},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.49857568740844727},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4610115587711334},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45238354802131653},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.42599835991859436},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37900394201278687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33694782853126526}],"concepts":[{"id":"https://openalex.org/C16469947","wikidata":"https://www.wikidata.org/wiki/Q2400745","display_name":"Fractional factorial design","level":3,"score":0.7767256498336792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5848390460014343},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5744464993476868},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.530206561088562},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5152754783630371},{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.5121142864227295},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.49857568740844727},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4610115587711334},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45238354802131653},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.42599835991859436},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37900394201278687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33694782853126526},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1198/00401700152672555","is_oa":false,"landing_page_url":"https://doi.org/10.1198/00401700152672555","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967331680","https://openalex.org/W1983261599","https://openalex.org/W1988899937","https://openalex.org/W1998682508","https://openalex.org/W2012712694","https://openalex.org/W2016935453","https://openalex.org/W2026342434","https://openalex.org/W2028387534","https://openalex.org/W2037621316","https://openalex.org/W2037722863","https://openalex.org/W2065093018","https://openalex.org/W2075313867","https://openalex.org/W2079886137","https://openalex.org/W2081256462","https://openalex.org/W2171257786","https://openalex.org/W4247160944","https://openalex.org/W4248186975","https://openalex.org/W4249286998"],"related_works":["https://openalex.org/W2945855118","https://openalex.org/W1967114272","https://openalex.org/W2908107136","https://openalex.org/W2787622611","https://openalex.org/W1969225545","https://openalex.org/W2793140644","https://openalex.org/W2987155035","https://openalex.org/W2789006471","https://openalex.org/W2788452061","https://openalex.org/W2390908354"],"abstract_inverted_index":{"A":[0],"new":[1],"robust":[2,44,74,93],"criterion":[3,14],"for":[4,64,92],"experimental":[5],"designs":[6,67],"is":[7,15,43,88],"proposed.":[8],"For":[9],"a":[10,84],"given":[11,63],"design,":[12],"the":[13,23,27,30,38,49,52],"to":[16,34,90],"minimize,":[17],"over":[18],"all":[19],"possible":[20,35,46],"run":[21],"orders,":[22],"absolute":[24],"value":[25],"of":[26,29],"change":[28],"variance":[31],"function":[32],"due":[33],"correlation":[36],"between":[37],"observations.":[39],"The":[40],"resulting":[41],"design":[42],"against":[45],"auto-correlation":[47],"among":[48],"observations":[50],"in":[51],"sense":[53],"that":[54],"confidence-interval":[55],"coverage":[56],"levels":[57],"are":[58,62,76,80],"maintained":[59],"accurately.":[60],"Applications":[61],"2k":[65],"factorial":[66],"and":[68,73,83],"one":[69],"mixed-level":[70],"fractional":[71],"experiment,":[72],"runs":[75],"obtained.":[77],"Computational":[78],"strategies":[79],"also":[81],"discussed,":[82],"simulated":[85],"annealing":[86],"algorithm":[87],"developed":[89],"search":[91],"designs.":[94]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
