{"id":"https://openalex.org/W4390512285","doi":"https://doi.org/10.1186/s40537-023-00873-7","title":"Analysis of imprecise measurement data utilizing z-test for correlation","display_name":"Analysis of imprecise measurement data utilizing z-test for correlation","publication_year":2024,"publication_date":"2024-01-02","ids":{"openalex":"https://openalex.org/W4390512285","doi":"https://doi.org/10.1186/s40537-023-00873-7"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-023-00873-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00873-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00873-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00873-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091275818","display_name":"Muhammad Aslam","orcid":"https://orcid.org/0000-0003-0644-1950"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Muhammad Aslam","raw_affiliation_strings":["Department of Statistics, Faculty of Science, King Abdulaziz University, 21551, Jeddah, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science, King Abdulaziz University, 21551, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091275818"],"corresponding_institution_ids":["https://openalex.org/I185163786"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":5.261,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95506516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9847000241279602,"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":0.9847000241279602,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9726999998092651,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/indeterminacy","display_name":"Indeterminacy (philosophy)","score":0.7932928800582886},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.7336283922195435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6572824120521545},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.575113832950592},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.49346721172332764},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.456787645816803},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45255789160728455},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.4370567798614502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3856258988380432},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.367816299200058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.271716833114624}],"concepts":[{"id":"https://openalex.org/C2777366796","wikidata":"https://www.wikidata.org/wiki/Q6017758","display_name":"Indeterminacy (philosophy)","level":2,"score":0.7932928800582886},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.7336283922195435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572824120521545},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.575113832950592},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.49346721172332764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.456787645816803},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45255789160728455},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4370567798614502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3856258988380432},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.367816299200058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.271716833114624},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-023-00873-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00873-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00873-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28e988acb369446c84e45d4ee7e7d864","is_oa":true,"landing_page_url":"https://doaj.org/article/28e988acb369446c84e45d4ee7e7d864","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 11, Iss 1, Pp 1-10 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-023-00873-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00873-7","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00873-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390512285.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1953807684","https://openalex.org/W1998960134","https://openalex.org/W2028842926","https://openalex.org/W2046688107","https://openalex.org/W2113668671","https://openalex.org/W2248143302","https://openalex.org/W2733253137","https://openalex.org/W2736542006","https://openalex.org/W2739095623","https://openalex.org/W2758823124","https://openalex.org/W2793350103","https://openalex.org/W2919982474","https://openalex.org/W2952444038","https://openalex.org/W3000887683","https://openalex.org/W3027384582","https://openalex.org/W3037286204","https://openalex.org/W3039608188","https://openalex.org/W3175639122","https://openalex.org/W3195785575","https://openalex.org/W3197103902","https://openalex.org/W3203354268","https://openalex.org/W3203565803","https://openalex.org/W4200417651","https://openalex.org/W4206080774","https://openalex.org/W4280623405","https://openalex.org/W4289731983","https://openalex.org/W4291451007","https://openalex.org/W6863842350"],"related_works":["https://openalex.org/W3013810674","https://openalex.org/W3111706109","https://openalex.org/W4200439127","https://openalex.org/W2344731424","https://openalex.org/W2774201806","https://openalex.org/W2160799121","https://openalex.org/W2014529756","https://openalex.org/W4226018335","https://openalex.org/W2943829869","https://openalex.org/W2792256792"],"abstract_inverted_index":{"Abstract":[0],"The":[1,80],"conventional":[2],"Z-test":[3,32,41],"for":[4,42,126],"correlation,":[5],"grounded":[6],"in":[7,13,48,106],"classical":[8],"statistics,":[9],"is":[10,85,103],"typically":[11],"employed":[12],"situations":[14],"devoid":[15],"of":[16,30,51,63,66,71,77,82,90,109,124],"vague":[17],"information.":[18],"However,":[19],"real-world":[20],"data":[21,128],"often":[22],"comes":[23],"with":[24],"inherent":[25],"uncertainty,":[26],"necessitating":[27],"an":[28,88],"adaptation":[29],"the":[31,49,57,61,64,69,75,78,97,107,111,122],"using":[33],"neutrosophic":[34],"statistics.":[35],"This":[36,120],"paper":[37],"introduces":[38],"a":[39],"modified":[40],"correlation":[43,112],"designed":[44],"to":[45,59],"explore":[46],"correlations":[47],"presence":[50],"imprecise":[52,127],"data.":[53,94],"We":[54],"will":[55],"present":[56],"simulation":[58],"check":[60],"effect":[62],"measure":[65],"indeterminacy":[67],"on":[68],"evolution":[70],"type-I":[72],"error":[73],"and":[74,92,99,115],"power":[76],"test.":[79],"application":[81],"this":[83],"modification":[84],"illustrated":[86],"through":[87],"examination":[89],"heartbeat":[91,98,114],"temperature":[93,100,116],"Upon":[95],"analyzing":[96],"data,":[101],"it":[102],"determined":[104],"that,":[105],"face":[108],"indeterminacy,":[110],"between":[113,132],"emerges":[117],"as":[118],"significant.":[119],"highlights":[121],"importance":[123],"accounting":[125],"when":[129],"investigating":[130],"relationships":[131],"variables.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}