{"id":"https://openalex.org/W3043829328","doi":"https://doi.org/10.1177/0142331220935293","title":"Combined effect of autocorrelation and measurement errors on the adaptive X\u00af monitoring schemes","display_name":"Combined effect of autocorrelation and measurement errors on the adaptive X\u00af monitoring schemes","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3043829328","doi":"https://doi.org/10.1177/0142331220935293","mag":"3043829328"},"language":"en","primary_location":{"id":"doi:10.1177/0142331220935293","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0142331220935293","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","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/A5009771131","display_name":"Sandile Charles Shongwe","orcid":"https://orcid.org/0000-0003-2243-8196"},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Sandile Charles Shongwe","raw_affiliation_strings":["Department of Statistics, College of Science, Engineering and Technology, University of South Africa, South Africa"],"raw_orcid":"https://orcid.org/0000-0003-2243-8196","affiliations":[{"raw_affiliation_string":"Department of Statistics, College of Science, Engineering and Technology, University of South Africa, South Africa","institution_ids":["https://openalex.org/I165390105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057751310","display_name":"Jean\u2010Claude Malela\u2010Majika","orcid":"https://orcid.org/0000-0001-7236-7678"},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Jean-Claude Malela-Majika","raw_affiliation_strings":["Department of Statistics, College of Science, Engineering and Technology, University of South Africa, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, College of Science, Engineering and Technology, University of South Africa, South Africa","institution_ids":["https://openalex.org/I165390105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009771131"],"corresponding_institution_ids":["https://openalex.org/I165390105"],"apc_list":null,"apc_paid":null,"fwci":0.8155,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77930327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"43","issue":"3","first_page":"537","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.996399998664856,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9790999889373779,"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/autocorrelation","display_name":"Autocorrelation","score":0.900404155254364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.618330180644989},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5916976928710938},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5521133542060852},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.49698665738105774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4837179481983185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48267582058906555},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.47665101289749146},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4558599591255188},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.4496413767337799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44006386399269104},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.2802484333515167}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.900404155254364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.618330180644989},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5916976928710938},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5521133542060852},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.49698665738105774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4837179481983185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48267582058906555},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.47665101289749146},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4558599591255188},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.4496413767337799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44006386399269104},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2802484333515167},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0142331220935293","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0142331220935293","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W4388153","https://openalex.org/W43850112","https://openalex.org/W206554253","https://openalex.org/W1508755482","https://openalex.org/W1515616719","https://openalex.org/W1530620413","https://openalex.org/W1551863120","https://openalex.org/W1579641413","https://openalex.org/W1957975534","https://openalex.org/W1967527400","https://openalex.org/W1971730853","https://openalex.org/W1976178141","https://openalex.org/W1987680186","https://openalex.org/W1999021882","https://openalex.org/W2023856171","https://openalex.org/W2053321710","https://openalex.org/W2070850594","https://openalex.org/W2074413692","https://openalex.org/W2087884347","https://openalex.org/W2088882944","https://openalex.org/W2109435769","https://openalex.org/W2162119424","https://openalex.org/W2165413703","https://openalex.org/W2167786938","https://openalex.org/W2304964046","https://openalex.org/W2315974003","https://openalex.org/W2327612995","https://openalex.org/W2477834368","https://openalex.org/W2541638007","https://openalex.org/W2766061259","https://openalex.org/W2795715773","https://openalex.org/W2806609622","https://openalex.org/W2888066589","https://openalex.org/W2893323748","https://openalex.org/W2897099897","https://openalex.org/W2898441437","https://openalex.org/W2909184195","https://openalex.org/W2932512804","https://openalex.org/W2935842687","https://openalex.org/W2947584941","https://openalex.org/W2948819368","https://openalex.org/W2964236077","https://openalex.org/W2968694512","https://openalex.org/W2970521471","https://openalex.org/W2989557721","https://openalex.org/W3001887189","https://openalex.org/W4205530313","https://openalex.org/W4251598726"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W2041235277","https://openalex.org/W2088220880","https://openalex.org/W3121354342","https://openalex.org/W2027411114","https://openalex.org/W2060952610","https://openalex.org/W2110226580"],"abstract_inverted_index":{"For":[0,167],"independent":[1],"and":[2,6,24,48,83,95,122,145,150],"identically":[3],"distributed":[4],"observations,":[5],"those":[7],"with":[8,76,113,139,162],"measurement":[9,49,96,164],"errors":[10],"only,":[11],"the":[12,25,43,72,89,106,109,114,124,128,141,163,175,183,187,194],"adaptive":[13,53,66],"designs":[14,67],"(i.e.":[15,81],"variable":[16,20],"sampling":[17,21,79,111,146],"sizes":[18],"(VSS),":[19],"intervals":[22],"(VSI)":[23],"latter":[26],"two":[27,77,110],"combined":[28,44,90],"to":[29,70,87,203],"form":[30],"VSSI)":[31],"have":[32],"been":[33],"thoroughly":[34],"discussed.":[35],"However,":[36],"no":[37],"research":[38],"exists":[39],"for":[40,65],"processes":[41],"under":[42],"effect":[45,92,120,159],"of":[46,93,108,127,170],"autocorrelation":[47,94,171],"errors;":[50],"thus,":[51],"such":[52],"Shewhart":[54],"[Formula:":[55,129],"see":[56,130,173],"text]":[57,131],"schemes":[58],"are":[59,68],"proposed.":[60],"The":[61],"Markov":[62],"chain":[63],"approach":[64],"used":[69,202],"evaluate":[71],"run-length":[73,100],"distribution":[74],"properties":[75],"special":[78],"strategies":[80,112],"s-skip":[82,176],"multiple":[84],"measurements)":[85],"incorporated":[86],"reduce":[88],"negative":[91,119,158,184],"inaccuracy.":[97],"Using":[98],"numerous":[99],"metrics,":[101],"it":[102],"is":[103,201],"shown":[104],"that":[105],"combination":[107],"VSSI":[115,188],"design":[116,189],"reduces":[117],"this":[118],"considerably":[121],"improves":[123],"detection":[125],"ability":[126],"scheme":[132],"by":[133],"a":[134,156,198],"significant":[135],"margin":[136],"as":[137,160],"compared":[138,161],"using":[140],"fixed":[142],"sample":[143],"size":[144],"interval":[147],"(FSSI),":[148],"VSS":[149],"VSI":[151],"designs.":[152,196],"Autocorrelation":[153],"level":[154],"has":[155,178],"higher":[157],"inaccuracy":[165],"level.":[166],"high":[168],"levels":[169],"([Formula:":[172],"text]0.8),":[174],"strategy":[177],"little":[179],"influence":[180],"in":[181],"reducing":[182],"effect;":[185],"but":[186],"maintains":[190],"better":[191],"performance":[192],"than":[193],"other":[195],"Finally,":[197],"real-life":[199],"example":[200],"illustrate":[204],"its":[205],"implementation.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
