{"id":"https://openalex.org/W2757829390","doi":"https://doi.org/10.1080/03610918.2017.1381735","title":"Penalized maximum likelihood estimation in the modified extended Weibull distribution","display_name":"Penalized maximum likelihood estimation in the modified extended Weibull distribution","publication_year":2017,"publication_date":"2017-09-26","ids":{"openalex":"https://openalex.org/W2757829390","doi":"https://doi.org/10.1080/03610918.2017.1381735","mag":"2757829390"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1381735","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1381735","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5076240135","display_name":"Ver\u00f4nica Maria Cadena Lima","orcid":"https://orcid.org/0000-0003-2714-4525"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Ver\u00f4nica M. C. Lima","raw_affiliation_strings":["Departamento de Estat\u00edstica, Universidade Federal da Bahia, Campus Ondina, Salvador/BA, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal da Bahia, Campus Ondina, Salvador/BA, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022676431","display_name":"Francisco Cribari\u2010Neto","orcid":"https://orcid.org/0000-0002-5909-6698"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco Cribari\u2013Neto","raw_affiliation_strings":["Departamento de Estat\u00edstica, Universidade Federal de Pernambuco, Cidade Universit\u00e1ria, Recife/PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Pernambuco, Cidade Universit\u00e1ria, Recife/PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076240135"],"corresponding_institution_ids":["https://openalex.org/I126158947"],"apc_list":null,"apc_paid":null,"fwci":1.4579,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8587399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"48","issue":"2","first_page":"334","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994000196456909,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9908000230789185,"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/weibull-distribution","display_name":"Weibull distribution","score":0.7674211263656616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6472364068031311},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.639070451259613},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.6204797029495239},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6119985580444336},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5978236794471741},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5908064246177673},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5887556672096252},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4584138095378876},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4562287926673889},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4365338385105133},{"id":"https://openalex.org/keywords/empirical-likelihood","display_name":"Empirical likelihood","score":0.429191529750824},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3124872148036957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30662456154823303},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.24251294136047363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14210137724876404}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.7674211263656616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6472364068031311},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.639070451259613},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.6204797029495239},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6119985580444336},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5978236794471741},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5908064246177673},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5887556672096252},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4584138095378876},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4562287926673889},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4365338385105133},{"id":"https://openalex.org/C2781117939","wikidata":"https://www.wikidata.org/wiki/Q5374245","display_name":"Empirical likelihood","level":3,"score":0.429191529750824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3124872148036957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30662456154823303},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.24251294136047363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14210137724876404},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2017.1381735","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1381735","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W44905675","https://openalex.org/W1967396544","https://openalex.org/W1968017026","https://openalex.org/W1969763686","https://openalex.org/W1970502168","https://openalex.org/W1971568850","https://openalex.org/W1973435812","https://openalex.org/W1975115903","https://openalex.org/W1980071153","https://openalex.org/W1997040453","https://openalex.org/W1998782763","https://openalex.org/W2006345809","https://openalex.org/W2006681603","https://openalex.org/W2008408285","https://openalex.org/W2013416277","https://openalex.org/W2017034551","https://openalex.org/W2028482100","https://openalex.org/W2034244915","https://openalex.org/W2036209393","https://openalex.org/W2038712858","https://openalex.org/W2064775922","https://openalex.org/W2066815871","https://openalex.org/W2078129874","https://openalex.org/W2112105596","https://openalex.org/W2112600232","https://openalex.org/W2117897510","https://openalex.org/W2120860882","https://openalex.org/W2130388500","https://openalex.org/W2157005274","https://openalex.org/W2171515720","https://openalex.org/W3019551511","https://openalex.org/W3029645440"],"related_works":["https://openalex.org/W2160216316","https://openalex.org/W2369347243","https://openalex.org/W4299677624","https://openalex.org/W2949568963","https://openalex.org/W3121212717","https://openalex.org/W2558660456","https://openalex.org/W2022340033","https://openalex.org/W2791714686","https://openalex.org/W4285485794","https://openalex.org/W2757829390"],"abstract_inverted_index":{"We":[0,18,54],"address":[1],"the":[2,8,12,24,70],"issue":[3],"of":[4,23],"performing":[5],"inference":[6,90],"on":[7,69,82],"parameters":[9],"that":[10,20,40,44],"index":[11],"modified":[13],"extended":[14],"Weibull":[15],"(MEW)":[16],"distribution.":[17],"show":[19],"numerical":[21],"maximization":[22],"MEW":[25],"log-likelihood":[26],"function":[27],"can":[28],"be":[29,77],"problematic.":[30],"It":[31],"is":[32,47,74],"even":[33],"possible":[34,48],"to":[35,49,59,76],"encounter":[36,50],"maximum":[37,61],"likelihood":[38,52,62],"estimates":[39],"are":[41,91,96],"not":[42],"finite,":[43],"is,":[45],"it":[46],"monotonic":[51],"functions.":[53],"consider":[55],"different":[56],"penalization":[57,66],"schemes":[58],"improve":[60],"point":[63,83],"estimation.":[64],"A":[65],"scheme":[67],"based":[68],"Jeffreys\u2019":[71],"invariant":[72],"prior":[73],"shown":[75],"particularly":[78],"useful.":[79],"Simulation":[80],"results":[81],"estimation,":[84,86],"interval":[85],"and":[87,98],"hypothesis":[88],"testing":[89],"presented.":[92],"Two":[93],"empirical":[94],"applications":[95],"presented":[97],"discussed.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}