{"id":"https://openalex.org/W4388680416","doi":"https://doi.org/10.33003/fjs-2023-0703-2034","title":"ODD GOMPERTZ-G FAMILY OF DISTRIBUTION, ITS PROPERTIES AND APPLICATIONS","display_name":"ODD GOMPERTZ-G FAMILY OF DISTRIBUTION, ITS PROPERTIES AND APPLICATIONS","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4388680416","doi":"https://doi.org/10.33003/fjs-2023-0703-2034"},"language":"en","primary_location":{"id":"doi:10.33003/fjs-2023-0703-2034","doi":"https://doi.org/10.33003/fjs-2023-0703-2034","is_oa":true,"landing_page_url":"https://doi.org/10.33003/fjs-2023-0703-2034","pdf_url":"https://www.fjs.fudutsinma.edu.ng/index.php/fjs/article/download/2034/1607","source":{"id":"https://openalex.org/S4210224159","display_name":"FUDMA Journal of Sciences","issn_l":"2616-1370","issn":["2616-1370","2645-2944"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404662838","host_organization_name":"Federal University, Dutsin-Ma","host_organization_lineage":["https://openalex.org/P4404662838"],"host_organization_lineage_names":["Federal University, Dutsin-Ma"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"FUDMA JOURNAL OF SCIENCES","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.fjs.fudutsinma.edu.ng/index.php/fjs/article/download/2034/1607","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054518905","display_name":"Jibril Yahaya Kajuru","orcid":"https://orcid.org/0000-0003-2722-9924","observed_orcids":["https://orcid.org/0000-0003-2722-9924"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Y. Kajuru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089541618","display_name":"Hussaini Garba Dikko","orcid":"https://orcid.org/0000-0002-3416-7795","observed_orcids":["https://orcid.org/0000-0002-3416-7795"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. G. Dikko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083838030","display_name":"Aabed Mohammed","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. S. Mohammed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055023615","display_name":"Ibrahim Aliyu Fulatan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. I. Fulatan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.655,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8647642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"7","issue":"3","first_page":"351","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":1.0,"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":1.0,"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":9.999999747378752e-05,"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/T11720","display_name":"Probability and Risk Models","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gompertz-distribution","display_name":"Gompertz distribution","score":0.906000018119812},{"id":"https://openalex.org/keywords/lifetime-distributions","display_name":"lifetime distributions","score":0.4869999885559082},{"id":"https://openalex.org/keywords/moments","display_name":"moments","score":0.8679999709129333},{"id":"https://openalex.org/keywords/moment-generating-function","display_name":"moment generating function","score":0.8859999775886536},{"id":"https://openalex.org/keywords/quantile-function","display_name":"quantile function","score":0.9419999718666077},{"id":"https://openalex.org/keywords/survival-function","display_name":"survival function","score":0.9860000014305115},{"id":"https://openalex.org/keywords/hazard-function","display_name":"hazard function","score":0.9980000257492065},{"id":"https://openalex.org/keywords/entropy-information-theory","display_name":"entropy (information theory)","score":0.7929999828338623},{"id":"https://openalex.org/keywords/order-statistics","display_name":"order statistics","score":0.9879999756813049},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.6399999856948853},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"goodness of fit","score":0.6169999837875366}],"concepts":[{"id":"https://openalex.org/C134463574","wikidata":"https://www.wikidata.org/wiki/Q1011785","display_name":"Gompertz function","level":2,"score":0.6804787516593933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6444095373153687},{"id":"https://openalex.org/C47121976","wikidata":"https://www.wikidata.org/wiki/Q3489473","display_name":"Quantile function","level":4,"score":0.623102068901062},{"id":"https://openalex.org/C44082924","wikidata":"https://www.wikidata.org/wiki/Q1767128","display_name":"Order statistic","level":2,"score":0.5866675972938538},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.5803141593933105},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5356929302215576},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5291236639022827},{"id":"https://openalex.org/C145437242","wikidata":"https://www.wikidata.org/wiki/Q762448","display_name":"Erlang distribution","level":3,"score":0.520072877407074},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5115547776222229},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4322836399078369},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4227818250656128},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.4163374900817871},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.41302022337913513},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41148263216018677},{"id":"https://openalex.org/C101796028","wikidata":"https://www.wikidata.org/wiki/Q535587","display_name":"Moment-generating function","level":3,"score":0.38437986373901367},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3247952461242676},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18526941537857056},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08718633651733398},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.33003/fjs-2023-0703-2034","doi":"https://doi.org/10.33003/fjs-2023-0703-2034","is_oa":true,"landing_page_url":"https://doi.org/10.33003/fjs-2023-0703-2034","pdf_url":"https://www.fjs.fudutsinma.edu.ng/index.php/fjs/article/download/2034/1607","source":{"id":"https://openalex.org/S4210224159","display_name":"FUDMA Journal of Sciences","issn_l":"2616-1370","issn":["2616-1370","2645-2944"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404662838","host_organization_name":"Federal University, Dutsin-Ma","host_organization_lineage":["https://openalex.org/P4404662838"],"host_organization_lineage_names":["Federal University, Dutsin-Ma"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"FUDMA JOURNAL OF SCIENCES","raw_type":"journal-article"},{"id":"pmh:oai:fjs.fudutsinma.edu.ng:article/2034","doi":null,"is_oa":true,"landing_page_url":"https://fjs.fudutsinma.edu.ng/index.php/index/article/view/2034","pdf_url":null,"source":{"id":"https://openalex.org/S4210224159","display_name":"FUDMA Journal of Sciences","issn_l":"2616-1370","issn":["2616-1370","2645-2944"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404662838","host_organization_name":"Federal University, Dutsin-Ma","host_organization_lineage":["https://openalex.org/P4404662838"],"host_organization_lineage_names":["Federal University, Dutsin-Ma"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2645-2944","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.33003/fjs-2023-0703-2034","doi":"https://doi.org/10.33003/fjs-2023-0703-2034","is_oa":true,"landing_page_url":"https://doi.org/10.33003/fjs-2023-0703-2034","pdf_url":"https://www.fjs.fudutsinma.edu.ng/index.php/fjs/article/download/2034/1607","source":{"id":"https://openalex.org/S4210224159","display_name":"FUDMA Journal of Sciences","issn_l":"2616-1370","issn":["2616-1370","2645-2944"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404662838","host_organization_name":"Federal University, Dutsin-Ma","host_organization_lineage":["https://openalex.org/P4404662838"],"host_organization_lineage_names":["Federal University, Dutsin-Ma"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"FUDMA JOURNAL OF SCIENCES","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388680416.pdf","grobid_xml":"https://content.openalex.org/works/W4388680416.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1964366808","https://openalex.org/W2029645921","https://openalex.org/W2036209393","https://openalex.org/W2058115831","https://openalex.org/W2108937662","https://openalex.org/W2114852361","https://openalex.org/W2123291367","https://openalex.org/W2132504853","https://openalex.org/W2143902124","https://openalex.org/W2157230072","https://openalex.org/W2980779693","https://openalex.org/W3208934213","https://openalex.org/W4242533288","https://openalex.org/W4288420077"],"related_works":["https://openalex.org/W4399470567","https://openalex.org/W7084761439","https://openalex.org/W3134387696","https://openalex.org/W2999550233","https://openalex.org/W4404611231","https://openalex.org/W2785847981","https://openalex.org/W6968315712","https://openalex.org/W4389059965","https://openalex.org/W2571172586","https://openalex.org/W3125735550"],"abstract_inverted_index":{"In":[0],"this":[1,32,49,81],"research":[2],"paper,":[3],"we":[4,51,70,76],"introduced":[5],"a":[6,54],"novel":[7],"generator":[8],"derived":[9,53],"from":[10],"the":[11,17,28,58,64,67,78,94,98],"continuous":[12],"Gompertz":[13],"distribution,":[14],"known":[15],"as":[16],"odd":[18,59],"Gompertz-G":[19],"distribution":[20,56,84],"family.":[21],"We":[22],"conducted":[23],"an":[24],"in-depth":[25],"analysis":[26],"of":[27,31,66,80],"statistical":[29],"characteristics":[30],"family,":[33,50],"including":[34],"moments,":[35],"moment-generating":[36],"functions,":[37,39,41,43],"quantile":[38],"survival":[40],"hazard":[42],"entropies,":[44],"and":[45,93],"order":[46],"statistics.":[47],"Within":[48],"also":[52],"specific":[55],"called":[57],"Gompertz-Exponential":[60],"distribution.":[61],"To":[62],"evaluate":[63],"reliability":[65],"distribution's":[68],"parameters,":[69],"employed":[71],"Monte":[72],"Carlo":[73],"simulations.":[74],"Furthermore,":[75],"assessed":[77],"applicability":[79],"newly":[82],"proposed":[83],"family":[85],"by":[86],"examining":[87],"its":[88,103],"performance":[89],"on":[90],"real-world":[91],"data":[92],"results":[95],"demonstrate":[96],"that":[97],"new":[99],"model":[100],"(OG-E)":[101],"outperformed":[102],"comparators":[104],"under":[105],"consideration.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-11-15T00:00:00"}