{"id":"https://openalex.org/W2013148468","doi":"https://doi.org/10.1080/10485250500039171","title":"Nonparametric maximum likelihood estimation of distribution functions when they cross","display_name":"Nonparametric maximum likelihood estimation of distribution functions when they cross","publication_year":2005,"publication_date":"2005-06-01","ids":{"openalex":"https://openalex.org/W2013148468","doi":"https://doi.org/10.1080/10485250500039171","mag":"2013148468"},"language":"en","primary_location":{"id":"doi:10.1080/10485250500039171","doi":"https://doi.org/10.1080/10485250500039171","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10485250500039171","pdf_url":null,"source":{"id":"https://openalex.org/S157569606","display_name":"Journal of nonparametric statistics","issn_l":"1026-7654","issn":["1026-7654","1029-0311","1048-5252"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-3","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":"Journal of Nonparametric Statistics","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/A5083069191","display_name":"Myong-Sik Oh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83015752","display_name":"Busan University of Foreign Studies","ror":"https://ror.org/0455zdm83","country_code":"KR","type":"education","lineage":["https://openalex.org/I83015752"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Myongsik Oh","raw_affiliation_strings":["Pusan University of Foreign Studies","Department of Statistics , Pusan University of Foreign Studies , 55-1 Uam-Dong Nam-Gu, Pusan, 608-738, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pusan University of Foreign Studies","institution_ids":["https://openalex.org/I83015752"]},{"raw_affiliation_string":"Department of Statistics , Pusan University of Foreign Studies , 55-1 Uam-Dong Nam-Gu, Pusan, 608-738, Korea","institution_ids":["https://openalex.org/I83015752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083069191"],"corresponding_institution_ids":["https://openalex.org/I83015752"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1542964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"4","first_page":"457","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.5170999765396118,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.5170999765396118,"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/T10136","display_name":"Statistical Methods and Inference","score":0.19009999930858612,"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":0.16779999434947968,"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/nonparametric-maximum-likelihood-estimation","display_name":"nonparametric maximum likelihood estimation","score":0.9509999752044678},{"id":"https://openalex.org/keywords/distribution-function","display_name":"distribution function","score":0.859000027179718},{"id":"https://openalex.org/keywords/isotonic-regression","display_name":"isotonic regression","score":0.9959999918937683},{"id":"https://openalex.org/keywords/strong-consistency","display_name":"strong consistency","score":0.8989999890327454}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.8718665838241577},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6118864417076111},{"id":"https://openalex.org/C17418463","wikidata":"https://www.wikidata.org/wiki/Q3455874","display_name":"Isotonic regression","level":3,"score":0.5960111618041992},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5822739601135254},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5821676850318909},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5638517737388611},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.4890071153640747},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.44248923659324646},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.44033342599868774},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4112052917480469},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.38362282514572144},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08776742219924927},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10485250500039171","doi":"https://doi.org/10.1080/10485250500039171","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10485250500039171","pdf_url":null,"source":{"id":"https://openalex.org/S157569606","display_name":"Journal of nonparametric statistics","issn_l":"1026-7654","issn":["1026-7654","1029-0311","1048-5252"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-3","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":"Journal of Nonparametric Statistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W204284294","https://openalex.org/W1901221442","https://openalex.org/W2000484728","https://openalex.org/W2001168940","https://openalex.org/W2020035629","https://openalex.org/W2023626126","https://openalex.org/W2041124053","https://openalex.org/W2043316917","https://openalex.org/W2052026883","https://openalex.org/W2078259867","https://openalex.org/W2109350711","https://openalex.org/W2280854616","https://openalex.org/W2795929191","https://openalex.org/W4212959212","https://openalex.org/W4237599667","https://openalex.org/W4239656491","https://openalex.org/W4289256748"],"related_works":["https://openalex.org/W1541412963","https://openalex.org/W2184572292","https://openalex.org/W1758921226","https://openalex.org/W4300716066","https://openalex.org/W1509119367","https://openalex.org/W1980209453","https://openalex.org/W4321367829","https://openalex.org/W4309301076","https://openalex.org/W2041704562","https://openalex.org/W2288767749"],"abstract_inverted_index":{"Nonparametric":[0],"maximum":[1],"likelihood":[2],"estimation":[3],"of":[4,17,33],"two":[5,23,47],"general":[6],"distribution":[7,24,48],"functions":[8,25,49],"is":[9,43,62],"studied":[10],"when":[11],"they":[12],"cross":[13],"once.":[14],"The":[15,36,53],"restriction":[16],"having":[18],"a":[19,30],"crossing":[20],"point":[21],"on":[22],"turns":[26],"out":[27],"to":[28,45],"be":[29],"dual":[31],"problem":[32],"unimodal":[34,41],"ordering.":[35],"isotonic":[37],"regression":[38],"procedure":[39],"for":[40,64],"ordering":[42],"employed":[44],"estimate":[46],"under":[50],"the":[51],"restriction.":[52],"proposed":[54],"estimator":[55],"has":[56],"strong":[57],"consistency.":[58],"A":[59],"real":[60],"data":[61],"analyzed":[63],"illustrative":[65],"purpose.":[66]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
