{"id":"https://openalex.org/W2024385955","doi":"https://doi.org/10.1109/tit.1975.1055456","title":"A note on the calculation of performance for likelihood ratio processors via computer simulation (Corresp.)","display_name":"A note on the calculation of performance for likelihood ratio processors via computer simulation (Corresp.)","publication_year":1975,"publication_date":"1975-11-01","ids":{"openalex":"https://openalex.org/W2024385955","doi":"https://doi.org/10.1109/tit.1975.1055456","mag":"2024385955"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1975.1055456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1975.1055456","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","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/A5034596914","display_name":"William S. Hodgkiss","orcid":"https://orcid.org/0000-0002-7699-0202"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Hodgkiss","raw_affiliation_strings":["Department of Electrical Engineering, Duke University, Durham, USA","Department of Electrical Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039277245","display_name":"L. W. Nolte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Nolte","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6069,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79341317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"6","first_page":"695","last_page":"698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.8539999723434448,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.8539999723434448,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.8514999747276306,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7383999824523926,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.6388282179832458},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.6014884114265442},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.5914665460586548},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5842764973640442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.577879011631012},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5548311471939087},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4954274892807007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46551135182380676},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4329051375389099},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.32624712586402893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3247454762458801}],"concepts":[{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.6388282179832458},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.6014884114265442},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.5914665460586548},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5842764973640442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577879011631012},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5548311471939087},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4954274892807007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46551135182380676},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4329051375389099},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.32624712586402893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3247454762458801},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1975.1055456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1975.1055456","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1536252645","https://openalex.org/W2095683621"],"related_works":["https://openalex.org/W2013921918","https://openalex.org/W1486530265","https://openalex.org/W2084412915","https://openalex.org/W2019724159","https://openalex.org/W2473791430","https://openalex.org/W2141324124","https://openalex.org/W4280508323","https://openalex.org/W2149766606","https://openalex.org/W2371672232","https://openalex.org/W2120595071"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,20,34],"a":[3],"likelihood":[4,36],"ratio":[5],"processor":[6],"must":[7],"often":[8],"be":[9],"determined":[10],"via":[11],"computer":[12],"simulation.":[13],"This":[14],"correspondence":[15],"suggests":[16],"an":[17],"effective":[18],"method":[19],"calculating":[21],"the":[22,30,35],"receiver":[23],"operating":[24],"characteristic":[25],"(ROC)":[26],"that":[27],"avoids":[28],"emphasizing":[29],"upper":[31],"tail":[32],"region":[33],"ratio's":[37],"estimated":[38],"probability":[39],"density":[40],"function.":[41],"A":[42],"specific":[43],"example":[44],"is":[45],"presented.":[46]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
