{"id":"https://openalex.org/W4293037019","doi":"https://doi.org/10.1080/03610918.2022.2112055","title":"Generalized <i>q</i> -logistic distribution","display_name":"Generalized <i>q</i> -logistic distribution","publication_year":2022,"publication_date":"2022-08-25","ids":{"openalex":"https://openalex.org/W4293037019","doi":"https://doi.org/10.1080/03610918.2022.2112055"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2112055","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2112055","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/A5041583614","display_name":"Seema S. Nair","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seema S Nair","raw_affiliation_strings":["Department of Statistics, St. Gregorios College, Kottarakkara, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, St. Gregorios College, Kottarakkara, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057676983","display_name":"K. Jayakumar","orcid":"https://orcid.org/0000-0002-0831-9898"},"institutions":[{"id":"https://openalex.org/I114176345","display_name":"University of Calicut","ror":"https://ror.org/05yeh3g67","country_code":"IN","type":"education","lineage":["https://openalex.org/I114176345"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K Jayakumar","raw_affiliation_strings":["Department of Statistics, University of Calicut, Calicut, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Calicut, Calicut, India","institution_ids":["https://openalex.org/I114176345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057676983"],"corresponding_institution_ids":["https://openalex.org/I114176345"],"apc_list":null,"apc_paid":null,"fwci":0.2191,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53693062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"53","issue":"8","first_page":"3771","last_page":"3787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9934999942779541,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9918000102043152,"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/logistic-distribution","display_name":"Logistic distribution","score":0.5181540250778198},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5080165863037109},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5066226124763489},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5059055685997009},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.5026218891143799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49822473526000977},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.46753165125846863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38774964213371277},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3743188679218292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36619189381599426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35353565216064453},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.19075140357017517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12278091907501221},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07250630855560303}],"concepts":[{"id":"https://openalex.org/C94465730","wikidata":"https://www.wikidata.org/wiki/Q589603","display_name":"Logistic distribution","level":3,"score":0.5181540250778198},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5080165863037109},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5066226124763489},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5059055685997009},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5026218891143799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49822473526000977},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.46753165125846863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38774964213371277},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3743188679218292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36619189381599426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35353565216064453},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.19075140357017517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12278091907501221},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07250630855560303},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2112055","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2112055","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W613017402","https://openalex.org/W1966333879","https://openalex.org/W1972235297","https://openalex.org/W1979407707","https://openalex.org/W1996745828","https://openalex.org/W2030954101","https://openalex.org/W2053302016","https://openalex.org/W2060910570","https://openalex.org/W2077052889","https://openalex.org/W2079113874","https://openalex.org/W2080015798","https://openalex.org/W2086783012","https://openalex.org/W2119169789","https://openalex.org/W2131751418","https://openalex.org/W2134310794","https://openalex.org/W2151546864","https://openalex.org/W2275348481","https://openalex.org/W2332555912","https://openalex.org/W2467305554","https://openalex.org/W2782809586","https://openalex.org/W4255252026","https://openalex.org/W4303066689","https://openalex.org/W4388295198"],"related_works":["https://openalex.org/W2011975901","https://openalex.org/W88349154","https://openalex.org/W2142211552","https://openalex.org/W295333008","https://openalex.org/W1969210846","https://openalex.org/W2784397281","https://openalex.org/W2189311656","https://openalex.org/W3136279621","https://openalex.org/W2369591484","https://openalex.org/W2089517467"],"abstract_inverted_index":{"Several":[0],"generalizations":[1],"of":[2,50,60,93,120,134],"the":[3,44,51,57,68,77,91,94,132,135],"logistic":[4],"distribution":[5,52],"and":[6,29,100,106,117,137],"certain":[7],"related":[8],"models":[9],"are":[10,115,122],"proposed":[11],"by":[12],"many":[13],"authors":[14],"for":[15,53,75],"modeling":[16,54],"various":[17],"random":[18],"phenomena":[19],"such":[20],"as":[21],"those":[22],"encountered":[23],"in":[24,42,67],"data":[25,129],"engineering,":[26],"pattern":[27],"recognition,":[28],"reliability":[30],"assessment":[31],"studies.":[32],"In":[33,80],"this":[34],"paper,":[35],"we":[36,71,82,125],"study":[37],"generalized":[38],"q-logistic":[39],"(GqL)":[40],"distribution,":[41],"which":[43],"additional":[45],"parameters":[46],"offered":[47],"increase":[48],"flexibility":[49],"purposes.":[55],"Since":[56],"parameter":[58],"estimation":[59,97,105,110],"GqL":[61,78,121],"model":[62,136],"is":[63],"not":[64],"explored":[65],"yet,":[66],"present":[69,139],"study,":[70,90],"propose":[72],"different":[73],"methods":[74],"estimating":[76],"parameters.":[79],"particular,":[81],"have":[83],"made":[84],"a":[85,127],"comprehensive":[86],"comparison":[87],"through":[88],"simulation":[89],"performance":[92],"maximum":[95,102],"likelihood":[96],"(both":[98],"complete":[99],"censored),":[101],"product":[103],"spacing":[104],"ordinary":[107],"least":[108],"squares":[109],"methods.":[111],"Some":[112],"characterization":[113],"theorems":[114],"obtained":[116],"some":[118,140],"properties":[119],"established.":[123],"Finally,":[124],"analyze":[126],"real":[128],"to":[130],"illustrate":[131],"potentiality":[133],"also":[138],"graphical":[141],"illustrations.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}