{"id":"https://openalex.org/W1519169933","doi":"https://doi.org/10.1016/s0169-7161(82)02009-4","title":"6 Nonparametric classification","display_name":"6 Nonparametric classification","publication_year":1982,"publication_date":"1982-01-01","ids":{"openalex":"https://openalex.org/W1519169933","doi":"https://doi.org/10.1016/s0169-7161(82)02009-4","mag":"1519169933"},"language":"en","primary_location":{"id":"doi:10.1016/s0169-7161(82)02009-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0169-7161(82)02009-4","pdf_url":null,"source":{"id":"https://openalex.org/S44500590","display_name":"Handbook of statistics","issn_l":"0169-7161","issn":["0169-7161","1875-7448"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Handbook of Statistics","raw_type":"book-chapter"},"type":"book-chapter","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/A5024979673","display_name":"James D. Broffitt","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"James D. Broffitt","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024979673"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.332,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.82831325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9998000264167786,"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":0.9998000264167786,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10136","display_name":"Statistical Methods and Inference","score":0.9725000262260437,"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/outlier","display_name":"Outlier","score":0.8047491312026978},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7506636381149292},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.7144616842269897},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.6789494752883911},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6574469208717346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.617678165435791},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5879449248313904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.573502779006958},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.532229483127594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156420469284058},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.48401710391044617},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.46309494972229004},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4628322422504425},{"id":"https://openalex.org/keywords/discriminant-function-analysis","display_name":"Discriminant function analysis","score":0.4403693675994873},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4223617911338806},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41181015968322754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30593645572662354},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07135769724845886}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8047491312026978},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7506636381149292},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.7144616842269897},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.6789494752883911},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6574469208717346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.617678165435791},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5879449248313904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.573502779006958},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.532229483127594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156420469284058},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.48401710391044617},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.46309494972229004},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4628322422504425},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.4403693675994873},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4223617911338806},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41181015968322754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30593645572662354},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07135769724845886},{"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},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0169-7161(82)02009-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0169-7161(82)02009-4","pdf_url":null,"source":{"id":"https://openalex.org/S44500590","display_name":"Handbook of statistics","issn_l":"0169-7161","issn":["0169-7161","1875-7448"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Handbook of Statistics","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1968786532","https://openalex.org/W1979573625","https://openalex.org/W1986061158","https://openalex.org/W1995125519","https://openalex.org/W2001619934","https://openalex.org/W2007031065","https://openalex.org/W2014268383","https://openalex.org/W2018330139","https://openalex.org/W2030087718","https://openalex.org/W2037269865","https://openalex.org/W2046033161","https://openalex.org/W2063764530","https://openalex.org/W2071349346","https://openalex.org/W2111106374","https://openalex.org/W2118020555","https://openalex.org/W2127415125","https://openalex.org/W2156429119","https://openalex.org/W2159070208","https://openalex.org/W2324309783","https://openalex.org/W3015387930"],"related_works":["https://openalex.org/W2141981133","https://openalex.org/W1963649114","https://openalex.org/W1978302214","https://openalex.org/W1534459252","https://openalex.org/W3147024994","https://openalex.org/W1984472287","https://openalex.org/W2371177901","https://openalex.org/W2321869780","https://openalex.org/W2025089370","https://openalex.org/W2162393942"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}