{"id":"https://openalex.org/W2044358303","doi":"https://doi.org/10.1080/00401706.1977.10489552","title":"Percentage Points for the RST Many Outlier Procedure","display_name":"Percentage Points for the RST Many Outlier Procedure","publication_year":1977,"publication_date":"1977-08-01","ids":{"openalex":"https://openalex.org/W2044358303","doi":"https://doi.org/10.1080/00401706.1977.10489552","mag":"2044358303"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.1977.10489552","doi":"https://doi.org/10.1080/00401706.1977.10489552","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1977.10489552","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"volume":null,"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/A5089191285","display_name":"BERNARD A. ROSNER","orcid":"https://orcid.org/0000-0001-6907-0056","observed_orcids":["https://orcid.org/0000-0001-6907-0056"]},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bernard Rosner","raw_affiliation_strings":["Harvard Medical School Channing Laboratory 180 Longwood Avenue","Harvard Medical School Channing Laboratory 180 Longwood Avenue , Boston , Massachusetts , 02119"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School Channing Laboratory 180 Longwood Avenue","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Harvard Medical School Channing Laboratory 180 Longwood Avenue , Boston , Massachusetts , 02119","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5089191285"],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":2.3367,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88972504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"19","issue":"3","first_page":"307","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9726999998092651,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9726999998092651,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.012500000186264515,"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/T13500","display_name":"Probability and Statistical Research","score":0.002099999925121665,"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/r-statistic","display_name":"R-statistic","score":0.9129999876022339},{"id":"https://openalex.org/keywords/percentage-points","display_name":"percentage points","score":0.8180000185966492},{"id":"https://openalex.org/keywords/outlier-detection","display_name":"outlier detection","score":0.8840000033378601},{"id":"https://openalex.org/keywords/multiple-outliers","display_name":"multiple outliers","score":0.5419999957084656},{"id":"https://openalex.org/keywords/sample-size","display_name":"sample size","score":0.652999997138977},{"id":"https://openalex.org/keywords/critical-values","display_name":"critical values","score":0.7369999885559082}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8467485904693604},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.7525308132171631},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6825592517852783},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6167147159576416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5787704586982727},{"id":"https://openalex.org/C91998498","wikidata":"https://www.wikidata.org/wiki/Q1541178","display_name":"Contingency table","level":2,"score":0.5405444502830505},{"id":"https://openalex.org/C44648626","wikidata":"https://www.wikidata.org/wiki/Q1049848","display_name":"Percentage point","level":2,"score":0.5157496929168701},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43883568048477173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2856106758117676},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":2,"locations":[{"id":"doi:10.1080/00401706.1977.10489552","doi":"https://doi.org/10.1080/00401706.1977.10489552","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1977.10489552","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},{"id":"doi:10.2307/1267700","doi":"https://doi.org/10.2307/1267700","is_oa":false,"landing_page_url":"https://doi.org/10.2307/1267700","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W310220691","https://openalex.org/W1984597404","https://openalex.org/W2011436309","https://openalex.org/W2040456885","https://openalex.org/W2157018930","https://openalex.org/W2320719351"],"related_works":["https://openalex.org/W2029230711","https://openalex.org/W1969456163","https://openalex.org/W1973302086","https://openalex.org/W2139393761","https://openalex.org/W2011436309","https://openalex.org/W2091047573","https://openalex.org/W179358417","https://openalex.org/W2127030176","https://openalex.org/W2088712544","https://openalex.org/W1680531750"],"abstract_inverted_index":{"This":[0,15],"article":[1],"is":[2,26,39,114],"concerned":[3],"with":[4],"estimating":[5],"percentage":[6,37],"points":[7,38,45],"for":[8,48,129,136],"the":[9,36,82,85,97,106,117,124,132],"RST":[10],"(R-statistic)":[11],"many":[12],"outlier":[13],"procedure.":[14,125],"procedure":[16,86,133],"has":[17],"been":[18],"introduced":[19],"in":[20,28,41,89,101,111],"[5]":[21],"and":[22],"a":[23,112],"brief":[24],"discussion":[25],"given":[27,40,47,88],"Section":[29,42,90,102],"1.":[30],"The":[31],"algorithm":[32],"used":[33],"to":[34,134],"estimate":[35],"2.":[43],"Percentage":[44],"are":[46,87,99,127],"\u03b1":[49],"=":[50,55,61,64,69,72,77],".10,":[51],".05,":[52],".01,":[53],"N":[54,63,71],"10(5)":[56],"20(10)":[57,65,73],"50(25)":[58,66,74],"100,":[59,67,75],"k":[60,68,76],"2:":[62],"3;":[70],"4.":[78],"Two":[79],"examples":[80],"illustrating":[81],"use":[83],"of":[84,96,109,120],"3.":[91],"Finally":[92],"some":[93],"potential":[94],"weaknesses":[95],"method":[98],"discussed":[100],"4:":[103],"namely,":[104],"when":[105],"actual":[107],"number":[108,119],"outliers":[110,121],"sample":[113],"larger":[115],"than":[116],"maximum":[118],"assumed":[122],"by":[123],"Alternatives":[126],"proposed":[128],"possibly":[130],"modifying":[131],"allow":[135],"this":[137],"contingency.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2016-06-24T00:00:00"}