{"id":"https://openalex.org/W32202704","doi":null,"title":"Simulation techniques for estimating error in the classification of normal patterns","display_name":"Simulation techniques for estimating error in the classification of normal patterns","publication_year":1974,"publication_date":"1974-01-01","ids":{"openalex":"https://openalex.org/W32202704","mag":"32202704"},"language":"en","primary_location":{"id":"mag:32202704","doi":null,"is_oa":false,"landing_page_url":"https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19760015883.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402118","display_name":"NASA Technical Reports Server (NASA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sean Whitsitt","orcid":"https://orcid.org/0000-0002-0273-7474","observed_orcids":["https://orcid.org/0000-0002-0273-7474"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean Whitsitt","raw_affiliation_strings":["Purdue University, West Lafayette, IN (United States)"],"raw_orcid":"https://orcid.org/0000-0002-0273-7474","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN (United States)","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112671848","display_name":"D. A. Landgrebe","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. A. Landgrebe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00256504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.9229000210762024,"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/T13141","display_name":"Statistical Methods and Applications","score":0.9229000210762024,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.00989999994635582,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.008999999612569809,"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/multivariate-normal-distribution","display_name":"multivariate normal distribution","score":0.890999972820282},{"id":"https://openalex.org/keywords/pattern-classification","display_name":"pattern classification","score":0.6669999957084656},{"id":"https://openalex.org/keywords/classification-error-estimation","display_name":"classification error estimation","score":0.7080000042915344},{"id":"https://openalex.org/keywords/sample-generation","display_name":"sample generation","score":0.6850000023841858},{"id":"https://openalex.org/keywords/selective-sampling","display_name":"selective sampling","score":0.8510000109672546},{"id":"https://openalex.org/keywords/sample-size","display_name":"sample size","score":0.6240000128746033},{"id":"https://openalex.org/keywords/separability-measure","display_name":"separability measure","score":0.9240000247955322},{"id":"https://openalex.org/keywords/chernoff-bound","display_name":"Chernoff bound","score":0.9639999866485596}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6543412208557129},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6290425062179565},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.6269669532775879},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4905487895011902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4815843105316162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4653540253639221},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4567197561264038},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4437781572341919},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.43302828073501587},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4267027676105499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42501431703567505},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4199780523777008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4013967514038086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3586164712905884},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:32202704","doi":null,"is_oa":false,"landing_page_url":"https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19760015883.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402118","display_name":"NASA Technical Reports Server (NASA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6830569766","display_name":"Factores de riesgo ambientales, ocupacionales y serol\u00f3gicos asociados al c\u00e1ncer de endometrio, en el marco del estudio Screenwide y el consorcio E2C2","funder_award_id":"PI19/01835","funder_id":"https://openalex.org/F4320334923","funder_display_name":"Instituto de Salud Carlos III"},{"id":"https://openalex.org/G8922309642","display_name":"Aceptabilidad, optimizaci\u00f3n y coste-efectividad de las estrategias para un cribado conjunto endometrial/cervical mediante autotoma","funder_award_id":"PI17/01179","funder_id":"https://openalex.org/F4320334923","funder_display_name":"Instituto de Salud Carlos III"},{"id":"https://openalex.org/G8934562342","display_name":null,"funder_award_id":"PIE16/00049","funder_id":"https://openalex.org/F4320334923","funder_display_name":"Instituto de Salud Carlos III"}],"funders":[{"id":"https://openalex.org/F4320334923","display_name":"Instituto de Salud Carlos III","ror":"https://ror.org/00ca2c886"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W4210989197","https://openalex.org/W2885550086","https://openalex.org/W2789811819","https://openalex.org/W2160541773","https://openalex.org/W2973525412","https://openalex.org/W2770288074","https://openalex.org/W2107446269","https://openalex.org/W2510344935","https://openalex.org/W2276863431","https://openalex.org/W2044331116","https://openalex.org/W2461020253","https://openalex.org/W2952118633","https://openalex.org/W1275532855","https://openalex.org/W1480811707","https://openalex.org/W2734757140","https://openalex.org/W2417812298","https://openalex.org/W2780150883","https://openalex.org/W2312456631","https://openalex.org/W2576440140","https://openalex.org/W2075087456","https://openalex.org/W2083617019","https://openalex.org/W2107638293","https://openalex.org/W2133564174","https://openalex.org/W2015914431","https://openalex.org/W2615030208","https://openalex.org/W2345139071","https://openalex.org/W2281562732","https://openalex.org/W2402880712","https://openalex.org/W2290377490","https://openalex.org/W1895450897","https://openalex.org/W2326537185","https://openalex.org/W2145446474","https://openalex.org/W1971617080","https://openalex.org/W2071614397","https://openalex.org/W2100141459","https://openalex.org/W2072064460","https://openalex.org/W2012787651","https://openalex.org/W2019248004","https://openalex.org/W2124135986","https://openalex.org/W1992735312","https://openalex.org/W2143896706","https://openalex.org/W2047103868","https://openalex.org/W1992437785","https://openalex.org/W2100859630","https://openalex.org/W2054775324","https://openalex.org/W2155973494","https://openalex.org/W1985575856","https://openalex.org/W2005461773","https://openalex.org/W2068115861","https://openalex.org/W1968978911","https://openalex.org/W2163310637","https://openalex.org/W2125012557","https://openalex.org/W2074593914","https://openalex.org/W2413391461","https://openalex.org/W2004135660","https://openalex.org/W2073847056","https://openalex.org/W2033572135","https://openalex.org/W2032205711","https://openalex.org/W2123306076","https://openalex.org/W1023079634","https://openalex.org/W2607258881","https://openalex.org/W2532858212"],"related_works":["https://openalex.org/W7097997303","https://openalex.org/W2132917682","https://openalex.org/W2168144490","https://openalex.org/W2079100340","https://openalex.org/W2151144419","https://openalex.org/W1988483727","https://openalex.org/W1970152324","https://openalex.org/W4385392640","https://openalex.org/W2242592825","https://openalex.org/W2064361366"],"abstract_inverted_index":{"Methods":[0],"of":[1],"efficiently":[2],"generating":[3],"and":[4,37,46,55],"classifying":[5],"samples":[6],"with":[7,29],"specified":[8],"multivariate":[9],"normal":[10,42],"distributions":[11],"were":[12],"discussed.":[13],"Conservative":[14],"confidence":[15],"tables":[16],"for":[17,22,34,40],"sample":[18],"sizes":[19],"are":[20,27,44],"given":[21],"selective":[23],"sampling.":[24],"Simulation":[25],"results":[26],"compared":[28],"classified":[30],"training":[31],"data.":[32],"Techniques":[33],"comparing":[35],"error":[36,54],"separability":[38],"measure":[39],"two":[41],"patterns":[43],"investigated":[45],"used":[47],"to":[48],"display":[49],"the":[50,53,56],"relationship":[51],"between":[52],"Chernoff":[57],"bound.":[58]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}