{"id":"https://openalex.org/W2441476864","doi":"https://doi.org/10.1080/03610918.2015.1041976","title":"Testing the equality means of several log-normal distributions","display_name":"Testing the equality means of several log-normal distributions","publication_year":2015,"publication_date":"2015-06-10","ids":{"openalex":"https://openalex.org/W2441476864","doi":"https://doi.org/10.1080/03610918.2015.1041976","mag":"2441476864"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1041976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1041976","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":"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/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":true,"raw_author_name":"Ali Akbar Jafari","raw_affiliation_strings":["Department of Statistics, Yazd University, Yazd, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Yazd University, Yazd, Iran","institution_ids":["https://openalex.org/I112536369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024714603","display_name":"Kamel Abdollahnezhad","orcid":null},"institutions":[{"id":"https://openalex.org/I198873322","display_name":"Golestan University","ror":"https://ror.org/046nf9z89","country_code":"IR","type":"education","lineage":["https://openalex.org/I198873322"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kamel Abdollahnezhad","raw_affiliation_strings":["Department of Statistics, Golestan University, Gorgan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Golestan University, Gorgan, Iran","institution_ids":["https://openalex.org/I198873322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045787539"],"corresponding_institution_ids":["https://openalex.org/I112536369"],"apc_list":null,"apc_paid":null,"fwci":0.3531,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70778138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"46","issue":"3","first_page":"2311","last_page":"2320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9986000061035156,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9986000061035156,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9961000084877014,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9916999936103821,"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/mathematics","display_name":"Mathematics","score":0.5688446164131165},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5415165424346924},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.5111373066902161},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5074636340141296},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.46594393253326416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43810027837753296},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4264466166496277},{"id":"https://openalex.org/keywords/type-i-and-type-ii-errors","display_name":"Type I and type II errors","score":0.4237716794013977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3811543583869934},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3714814782142639}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5688446164131165},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5415165424346924},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.5111373066902161},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5074636340141296},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.46594393253326416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43810027837753296},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4264466166496277},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.4237716794013977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3811543583869934},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3714814782142639}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1041976","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1041976","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W137421769","https://openalex.org/W1989740545","https://openalex.org/W1999006312","https://openalex.org/W2000951514","https://openalex.org/W2007203763","https://openalex.org/W2025567657","https://openalex.org/W2031082037","https://openalex.org/W2038883171","https://openalex.org/W2050275028","https://openalex.org/W2055151031","https://openalex.org/W2057675164","https://openalex.org/W2057838882","https://openalex.org/W2059293618","https://openalex.org/W2065405880","https://openalex.org/W2071916191","https://openalex.org/W2074790166","https://openalex.org/W2077460256","https://openalex.org/W2079851395","https://openalex.org/W2081877752","https://openalex.org/W2088100715","https://openalex.org/W2088903467","https://openalex.org/W2097879961","https://openalex.org/W2139100639","https://openalex.org/W2165040571","https://openalex.org/W2300684981","https://openalex.org/W2802898185","https://openalex.org/W4206174968","https://openalex.org/W4241277343"],"related_works":["https://openalex.org/W2060985069","https://openalex.org/W1607313810","https://openalex.org/W2047140783","https://openalex.org/W2272564853","https://openalex.org/W3088276941","https://openalex.org/W2056967931","https://openalex.org/W84084013","https://openalex.org/W2244339280","https://openalex.org/W3137029931","https://openalex.org/W2088238660"],"abstract_inverted_index":{"ABSTRACTResearches":[0],"propose":[1],"various":[2],"methods":[3,15,36,45,70,74,110],"for":[4,58],"comparing":[5],"the":[6,22,34,48,60,72,84,95,102,108],"means":[7,24,61],"of":[8,13,25,33,62,88,94,99],"two":[9],"log-normal":[10,27,64],"distributions.":[11,65],"Some":[12],"these":[14,89],"have":[16],"been":[17],"recently":[18],"extended":[19],"to":[20],"test":[21],"equality":[23],"several":[26,63],"populations.":[28],"Investigations":[29],"show":[30,82],"that":[31,83],"none":[32],"established":[35],"is":[37,53],"satisfactory.":[38],"In":[39],"this":[40],"article,":[41],"we":[42,67,106],"provide":[43],"three":[44],"based":[46],"on":[47],"computational":[49],"approach":[50,115],"test,":[51],"which":[52],"a":[54],"parametric":[55],"bootstrap":[56],"approach,":[57],"testing":[59],"Further,":[66],"compare":[68],"our":[69],"with":[71],"existing":[73],"through":[75],"Monte":[76],"Carlo":[77],"simulation.":[78],"The":[79],"numerical":[80],"results":[81],"Type":[85],"I":[86,121],"errors":[87],"procedures":[90],"are":[91],"satisfactory":[92],"regardless":[93],"sample":[96],"size,":[97],"number":[98],"populations,":[100],"and":[101],"true":[103],"parameters.":[104],"Finally,":[105],"explain":[107],"considered":[109],"by":[111],"real":[112],"examples.KEYWORDS:":[113],"Computational":[114],"testGeneralized":[116],"p-valueLog-normal":[117],"distributionMaximum":[118],"likelihood":[119],"estimationType":[120],"error.MATHEMATICS":[122],"SUBJECT":[123],"CLASSIFICATION:":[124],"62F0362F40":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}