{"id":"https://openalex.org/W2012492805","doi":"https://doi.org/10.1080/03610910701855013","title":"Selection and Ranking Procedures for Type I Extreme Value Populations and a Related Homogeneity Test","display_name":"Selection and Ranking Procedures for Type I Extreme Value Populations and a Related Homogeneity Test","publication_year":2008,"publication_date":"2008-04-14","ids":{"openalex":"https://openalex.org/W2012492805","doi":"https://doi.org/10.1080/03610910701855013","mag":"2012492805"},"language":"en","primary_location":{"id":"doi:10.1080/03610910701855013","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910701855013","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/A5071256311","display_name":"S. Jeyaratnam","orcid":null},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Jeyaratnam","raw_affiliation_strings":["\n                   \n               Department of Mathematics, Southern Illinois University, Carbondale, Illinois, USA","Department of Mathematics , Southern Illinois University , Carbondale , Illinois , USA"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Mathematics, Southern Illinois University, Carbondale, Illinois, USA","institution_ids":["https://openalex.org/I110378019"]},{"raw_affiliation_string":"Department of Mathematics , Southern Illinois University , Carbondale , Illinois , USA","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043684828","display_name":"S. Panchapakesan","orcid":"https://orcid.org/0000-0002-6728-8884"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Panchapakesan","raw_affiliation_strings":["\n                   \n               Department of Mathematics, Southern Illinois University, Carbondale, Illinois, USA","Department of Mathematics , Southern Illinois University , Carbondale , Illinois , USA"],"affiliations":[{"raw_affiliation_string":"\n                   \n               Department of Mathematics, Southern Illinois University, Carbondale, Illinois, USA","institution_ids":["https://openalex.org/I110378019"]},{"raw_affiliation_string":"Department of Mathematics , Southern Illinois University , Carbondale , Illinois , USA","institution_ids":["https://openalex.org/I110378019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071256311"],"corresponding_institution_ids":["https://openalex.org/I110378019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09981426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"5","first_page":"881","last_page":"896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":1.0,"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":1.0,"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":0.9945999979972839,"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/T11720","display_name":"Probability and Risk Models","score":0.9919000267982483,"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/statistics","display_name":"Statistics","score":0.7029410600662231},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.6790036559104919},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6621582508087158},{"id":"https://openalex.org/keywords/lambda","display_name":"Lambda","score":0.5671985745429993},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5575399398803711},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5343716740608215},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4863350987434387},{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.4653867781162262},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4635002315044403},{"id":"https://openalex.org/keywords/location-parameter","display_name":"Location parameter","score":0.4444776475429535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19616791605949402},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.1869983971118927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12076449394226074},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09742239117622375},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.07923057675361633}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7029410600662231},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.6790036559104919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6621582508087158},{"id":"https://openalex.org/C2778113609","wikidata":"https://www.wikidata.org/wiki/Q10897","display_name":"Lambda","level":2,"score":0.5671985745429993},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5575399398803711},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5343716740608215},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4863350987434387},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.4653867781162262},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4635002315044403},{"id":"https://openalex.org/C18294631","wikidata":"https://www.wikidata.org/wiki/Q2621185","display_name":"Location parameter","level":3,"score":0.4444776475429535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19616791605949402},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.1869983971118927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12076449394226074},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09742239117622375},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.07923057675361633},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910701855013","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910701855013","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":0.6499999761581421,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W4796181","https://openalex.org/W1991567646","https://openalex.org/W2028406055","https://openalex.org/W2043706905","https://openalex.org/W2051714184","https://openalex.org/W2052514130","https://openalex.org/W2104016842","https://openalex.org/W2114368921","https://openalex.org/W2151109590","https://openalex.org/W2164528524","https://openalex.org/W2468987021","https://openalex.org/W2522610260","https://openalex.org/W2801179766","https://openalex.org/W4242200137","https://openalex.org/W4244264281","https://openalex.org/W4255907263","https://openalex.org/W4300223101"],"related_works":["https://openalex.org/W1999392235","https://openalex.org/W2075537321","https://openalex.org/W2055668825","https://openalex.org/W2059493168","https://openalex.org/W2371593620","https://openalex.org/W2156037511","https://openalex.org/W2572678357","https://openalex.org/W2019481703","https://openalex.org/W2951695430","https://openalex.org/W1985622995"],"abstract_inverted_index":{"Abstract":[0],"Consider":[1],"k":[2],"(\u22652)":[3],"independent":[4],"Type":[5],"I":[6,108],"extreme":[7,109],"value":[8,110],"populations":[9],"with":[10],"unknown":[11],"location":[12,40,49,59],"parameters":[13],"and":[14,51,65,106],"common":[15],"known":[16],"scale":[17],"parameter.":[18],"With":[19],"samples":[20],"of":[21,56,71,83],"same":[22],"size,":[23],"we":[24],"study":[25],"procedures":[26],"based":[27,77],"on":[28,78],"the":[29,35,38,44,47,58,81,84],"sample":[30,86],"means":[31],"for":[32,54,73,80,97],"(1)":[33],"selecting":[34,43],"population":[36,45],"having":[37,46],"largest":[39],"parameter,":[41,50],"(2)":[42],"smallest":[48],"(3)":[52],"testing":[53],"equality":[55],"all":[57,98],"parameters.":[60],"We":[61],"use":[62],"Bechhofer's":[63],"indifference-zone":[64],"Gupta's":[66],"subset":[67],"selection":[68],"formulations.":[69],"Tables":[70],"constants":[72],"implemention":[74],"are":[75,95],"provided":[76,96],"approximation":[79],"distribution":[82],"standardized":[85],"mean":[87],"by":[88],"a":[89],"generalized":[90],"Tukey's":[91,102],"lambda":[92,103],"distribution.":[93],"Examples":[94],"procedures.":[99],"Keywords:":[100],"Generalized":[101],"distributionHomogeneity":[104],"testSelection":[105],"rankingType":[107],"populationMathematics":[111],"Subject":[112],"Classification:":[113],"Primary":[114],"62F07Secondary":[115],"62F03":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
