{"id":"https://openalex.org/W2334711538","doi":"https://doi.org/10.2307/2527974","title":"The Comparison of the Sensitivities of Similar Experiments: Applications","display_name":"The Comparison of the Sensitivities of Similar Experiments: Applications","publication_year":1957,"publication_date":"1957-12-01","ids":{"openalex":"https://openalex.org/W2334711538","doi":"https://doi.org/10.2307/2527974","mag":"2334711538"},"language":"en","primary_location":{"id":"doi:10.2307/2527974","doi":"https://doi.org/10.2307/2527974","is_oa":false,"landing_page_url":"https://doi.org/10.2307/2527974","pdf_url":null,"source":{"id":"https://openalex.org/S8265502","display_name":"Biometrics","issn_l":"0006-341X","issn":["0006-341X","1541-0420"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5032762050","display_name":"RALPH ALLAN BRADLEY","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. A. Bradley","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110718250","display_name":"D. E. W. Schumann","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. E. W. Schumann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3780,"currency":"USD","value_usd":3780},"apc_paid":null,"fwci":4.7837,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.95751634,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"13","issue":"4","first_page":"496","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.8960000276565552,"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"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.8960000276565552,"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"}},{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.054499998688697815,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.01119999960064888,"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/sensitivity-comparison","display_name":"sensitivity comparison","score":0.7310000061988831},{"id":"https://openalex.org/keywords/taste-testing","display_name":"taste testing","score":0.8600000143051147},{"id":"https://openalex.org/keywords/sensory-evaluation","display_name":"sensory evaluation","score":0.4449999928474426},{"id":"https://openalex.org/keywords/treatment-effects","display_name":"treatment effects","score":0.40799999237060547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205989122390747},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5666024684906006},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.520908772945404},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4639652967453003},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4463193714618683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4321897625923157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4269736409187317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4254886507987976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30425703525543213},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2307/2527974","doi":"https://doi.org/10.2307/2527974","is_oa":false,"landing_page_url":"https://doi.org/10.2307/2527974","pdf_url":null,"source":{"id":"https://openalex.org/S8265502","display_name":"Biometrics","issn_l":"0006-341X","issn":["0006-341X","1541-0420"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1975841292","https://openalex.org/W2001899982","https://openalex.org/W2060555662","https://openalex.org/W2131435807","https://openalex.org/W2132757023","https://openalex.org/W2322408325","https://openalex.org/W2617424337"],"related_works":["https://openalex.org/W2011215502","https://openalex.org/W2242327499","https://openalex.org/W7135524176","https://openalex.org/W2322408325","https://openalex.org/W2400208659","https://openalex.org/W2315035735","https://openalex.org/W2904321657","https://openalex.org/W2118456688","https://openalex.org/W2028773185","https://openalex.org/W1141969543"],"abstract_inverted_index":{"effects":[0],"of":[1,11,18,22,60,99,106,131,150,175,185,189,217,229,235,237,248],"experimental":[2,25],"treatments":[3],"is":[4,49],"a":[5,33,56,79,151,212],"difficult":[6],"one":[7,206],"in":[8,32,75,89,102,135,167,180,211,224],"certain":[9],"areas":[10],"research.":[12],"We":[13],"are":[14,96,141],"concerned":[15],"with":[16,78],"means":[17,184],"comparing":[19,186],"the":[20,30,84,93,104,129,148,173,187,190],"sensitivities":[21,188,228],"two":[23,61,94,191,199,230,233,240,246],"available":[24,197],"techniques,":[26],"where":[27],"we":[28],"use":[29,72,130,149,174],"term":[31],"very":[34],"general":[35],"sense,":[36],"that":[37],"might":[38],"be":[39,64,69,87,110,251],"used":[40,65,88,143],"to":[41,53,71,81,86],"yield":[42],"data":[43,195],"for":[44,169,207,215],"specified":[45],"treatment":[46],"comparisons.":[47],"It":[48],"often":[50],"not":[51],"possible":[52],"determine":[54],"on":[55,83],"priori":[57],"grounds":[58],"which":[59,160],"techniques":[62,74],"should":[63],"and":[66,144],"it":[67],"may":[68,109,250],"desirable":[70],"both":[73],"separate":[76],"experiments":[77,95,138],"view":[80],"deciding":[82],"technique":[85],"future":[90],"experimentation.":[91],"When":[92],"indeed":[97],"independent":[98,204],"each":[100,208],"other":[101,220],"probability,":[103],"methods":[105,234,247],"this":[107,181],"paper":[108,182],"used.":[111],"Let":[112],"us":[113],"consider":[114],"several":[115],"typical":[116],"situations":[117,222,242],"indicated":[118],"by":[119],"subj":[120],"ectmatter":[121],"headings.":[122],"Taste":[123],"Testing:":[124],"Hopkins":[125],"[1950,":[126],"1953]":[127],"investigated":[128],"discrete":[132,176],"scoring":[133,154,192,209],"scales":[134],"taste":[136,225,231],"testing":[137],"as":[139,163],"they":[140],"commonly":[142],"Baten":[145],"[1946]":[146],"suggested":[147],"continuous":[152],"line":[153],"system.":[155],"The":[156,227],"latter":[157],"obtained":[158],"results":[159],"he":[161],"interpreted":[162],"showing":[164],"an":[165],"increase":[166],"sensitivity":[168],"his":[170],"method":[171],"over":[172],"scores.":[177],"Procedures":[178],"discussed":[179],"provide":[183],"systems":[193],"if":[194],"were":[196],"from":[198],"identically":[200],"designed":[201],"but":[202],"statistically":[203],"experiments,":[205],"system,":[210],"form":[213],"suitable":[214],"analysis":[216],"variance.":[218],"Many":[219],"comparable":[221],"arise":[223],"testing.":[226],"panels,":[232],"preparation":[236],"test":[238],"items,":[239],"environmental":[241],"during":[243],"tasting,":[244],"or":[245],"storage":[249],"compared.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}
