{"id":"https://openalex.org/W2735538266","doi":"https://doi.org/10.1080/03610918.2018.1484474","title":"Small sample inference for the common coefficient of variation","display_name":"Small sample inference for the common coefficient of variation","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2735538266","doi":"https://doi.org/10.1080/03610918.2018.1484474","mag":"2735538266"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1484474","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1484474","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1707.04112","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004338171","display_name":"Mohmammad Reza Kazemi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161235","display_name":"Fasa University of Medical Sciences","ror":"https://ror.org/05bh0zx16","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210161235"]},{"id":"https://openalex.org/I4400600978","display_name":"Fasa University","ror":"https://ror.org/03a77cf20","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600978"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"M. R. Kazemi","raw_affiliation_strings":["Department of Statistics, Fasa University, Fasa, Iran;"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Fasa University, Fasa, Iran;","institution_ids":["https://openalex.org/I4210161235","https://openalex.org/I4400600978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045787539","display_name":"Ali Akbar Jafari","orcid":"https://orcid.org/0000-0002-2980-338X"},"institutions":[{"id":"https://openalex.org/I112536369","display_name":"Yazd University","ror":"https://ror.org/02x99ac45","country_code":"IR","type":"education","lineage":["https://openalex.org/I112536369"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"A. A. Jafari","raw_affiliation_strings":["Department of Statistics, Yazd University, Yazd, Iran","Department of Statistics, Yazd University, Yazd , Iran"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Yazd University, Yazd, Iran","institution_ids":["https://openalex.org/I112536369"]},{"raw_affiliation_string":"Department of Statistics, Yazd University, Yazd , Iran","institution_ids":["https://openalex.org/I112536369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004338171"],"corresponding_institution_ids":["https://openalex.org/I4210161235","https://openalex.org/I4400600978"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01173763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":"1","first_page":"226","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9983999729156494,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9965999722480774,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7424109578132629},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6527262330055237},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.6503698825836182},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.615315854549408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5896672010421753},{"id":"https://openalex.org/keywords/coefficient-of-variation","display_name":"Coefficient of variation","score":0.5863780379295349},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5244351029396057},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.520430862903595},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.4942181408405304},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.49265414476394653},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4624495804309845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2747352719306946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10557237267494202},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07527559995651245}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7424109578132629},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6527262330055237},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.6503698825836182},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.615315854549408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5896672010421753},{"id":"https://openalex.org/C89838059","wikidata":"https://www.wikidata.org/wiki/Q623738","display_name":"Coefficient of variation","level":2,"score":0.5863780379295349},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5244351029396057},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.520430862903595},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.4942181408405304},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.49265414476394653},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4624495804309845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2747352719306946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10557237267494202},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07527559995651245},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/03610918.2018.1484474","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1484474","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:arXiv.org:1707.04112","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.04112","pdf_url":"https://arxiv.org/pdf/1707.04112","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2735538266","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1707.04112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1707.04112","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1707.04112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1707.04112","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.04112","pdf_url":"https://arxiv.org/pdf/1707.04112","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2735538266.pdf","grobid_xml":"https://content.openalex.org/works/W2735538266.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1947843319","https://openalex.org/W1970901130","https://openalex.org/W1982256346","https://openalex.org/W1985162447","https://openalex.org/W1987365718","https://openalex.org/W2000951514","https://openalex.org/W2005729595","https://openalex.org/W2006656074","https://openalex.org/W2012504012","https://openalex.org/W2036204139","https://openalex.org/W2036972045","https://openalex.org/W2042509047","https://openalex.org/W2043776149","https://openalex.org/W2045518780","https://openalex.org/W2052542886","https://openalex.org/W2057968703","https://openalex.org/W2062479471","https://openalex.org/W2065405880","https://openalex.org/W2072341987","https://openalex.org/W2074955526","https://openalex.org/W2077594895","https://openalex.org/W2081877752","https://openalex.org/W2083131707","https://openalex.org/W2087824068","https://openalex.org/W2089788363","https://openalex.org/W2090435477","https://openalex.org/W2094893882","https://openalex.org/W2103610905","https://openalex.org/W2108477241","https://openalex.org/W2117814571","https://openalex.org/W2156514604","https://openalex.org/W2160905626","https://openalex.org/W2462667841","https://openalex.org/W2962942588","https://openalex.org/W4230651318","https://openalex.org/W4233289825","https://openalex.org/W4235092540","https://openalex.org/W4235618618","https://openalex.org/W4249826780"],"related_works":["https://openalex.org/W2185934767","https://openalex.org/W2918868073","https://openalex.org/W1809688448","https://openalex.org/W2903024979","https://openalex.org/W78421548","https://openalex.org/W1985234779","https://openalex.org/W2124620163","https://openalex.org/W2792812004","https://openalex.org/W2054781139","https://openalex.org/W2117991484","https://openalex.org/W2009546080","https://openalex.org/W2974145103","https://openalex.org/W2905084651","https://openalex.org/W1965019479","https://openalex.org/W2256417969","https://openalex.org/W1987830713","https://openalex.org/W2805890273","https://openalex.org/W2044008592","https://openalex.org/W2100942493","https://openalex.org/W2052180676"],"abstract_inverted_index":{"This":[0,25],"paper":[1],"utilizes":[2],"the":[3,10,15,31,48,58,76,84,89,93,107],"modified":[4],"signed":[5],"log-likelihood":[6],"ratio":[7],"method":[8,26,109],"for":[9,29,41,99],"problem":[11,32],"of":[12,18,33,51,70,83,86,92,96],"inference":[13],"about":[14],"common":[16,94],"coefficient":[17,95],"variation":[19,97],"in":[20],"several":[21],"independent":[22],"normal":[23],"populations.":[24],"is":[27,55,65,79],"applicable":[28],"both":[30],"hypothesis":[34],"testing":[35],"and":[36,88],"constructing":[37],"a":[38],"confidence":[39,59],"interval":[40],"this":[42,52],"parameter.":[43],"Simulation":[44],"studies":[45],"show":[46],"that":[47],"coverage":[49],"probability":[50],"proposed":[53,77,108],"approach":[54,78],"close":[56],"to":[57],"coefficient.":[60],"Also,":[61],"its":[62],"expected":[63,68],"length":[64],"smaller":[66],"than":[67],"lengths":[69],"other":[71],"competing":[72],"approaches.":[73],"In":[74],"fact,":[75],"very":[80,100],"satisfactory":[81],"regardless":[82],"number":[85],"populations":[87],"different":[90],"values":[91],"even":[98],"small":[101],"sample":[102],"size.":[103],"Finally,":[104],"we":[105],"illustrate":[106],"using":[110],"two":[111],"real":[112],"data":[113],"sets.":[114]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
