{"id":"https://openalex.org/W2965229291","doi":"https://doi.org/10.1080/03610918.2019.1650181","title":"Modified ridge parameter estimators for log-gamma model: Monte Carlo evidence with a graphical investigation","display_name":"Modified ridge parameter estimators for log-gamma model: Monte Carlo evidence with a graphical investigation","publication_year":2019,"publication_date":"2019-08-06","ids":{"openalex":"https://openalex.org/W2965229291","doi":"https://doi.org/10.1080/03610918.2019.1650181","mag":"2965229291"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1650181","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1650181","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/A5068390159","display_name":"Fikriye Kurto\u011flu","orcid":"https://orcid.org/0000-0001-9956-7741"},"institutions":[{"id":"https://openalex.org/I55931168","display_name":"Cukurova University","ror":"https://ror.org/05wxkj555","country_code":"TR","type":"education","lineage":["https://openalex.org/I55931168"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Fikriye Kurto\u011flu","raw_affiliation_strings":["Department of Statistics, Faculty of Science and Letters, \u00c7ukurova University","Department of Statistics, Faculty of Science and Letters, \u00c7ukurova University, Adana, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science and Letters, \u00c7ukurova University","institution_ids":["https://openalex.org/I55931168"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Science and Letters, \u00c7ukurova University, Adana, Turkey","institution_ids":["https://openalex.org/I55931168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068390159"],"corresponding_institution_ids":["https://openalex.org/I55931168"],"apc_list":null,"apc_paid":null,"fwci":0.626,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69904296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"50","issue":"7","first_page":"2168","last_page":"2183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9994999766349792,"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":0.9994999766349792,"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/T11236","display_name":"Control Systems and Identification","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9502999782562256,"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/estimator","display_name":"Estimator","score":0.684440553188324},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.6592491865158081},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5580523014068604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5552548170089722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47457221150398254},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4679991602897644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37903961539268494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.353792667388916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34379470348358154},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3222366273403168},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1947782337665558},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14569449424743652}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.684440553188324},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.6592491865158081},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5580523014068604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5552548170089722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47457221150398254},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4679991602897644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37903961539268494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.353792667388916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34379470348358154},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3222366273403168},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1947782337665558},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14569449424743652}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1650181","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1650181","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1968197874","https://openalex.org/W1969076842","https://openalex.org/W1988934215","https://openalex.org/W1993818816","https://openalex.org/W1999187230","https://openalex.org/W2006774845","https://openalex.org/W2014664653","https://openalex.org/W2016625818","https://openalex.org/W2020364685","https://openalex.org/W2021335009","https://openalex.org/W2033524410","https://openalex.org/W2066796151","https://openalex.org/W2070394662","https://openalex.org/W2073334899","https://openalex.org/W2093754862","https://openalex.org/W2106342186","https://openalex.org/W2139766869","https://openalex.org/W2338509365","https://openalex.org/W2478883110","https://openalex.org/W2487741598","https://openalex.org/W2488161968","https://openalex.org/W2771101472","https://openalex.org/W2800569345","https://openalex.org/W2801490189","https://openalex.org/W2810477198","https://openalex.org/W2901610751","https://openalex.org/W4234698323"],"related_works":["https://openalex.org/W4242029529","https://openalex.org/W4287880334","https://openalex.org/W2361826657","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W2369419402","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W3144717507","https://openalex.org/W1639290356"],"abstract_inverted_index":{"In":[0,251],"ordinary":[1],"ridge":[2,8,23,41,76,119,154,200],"regression,":[3],"the":[4,7,22,27,227,242,260,264,267,273],"estimation":[5],"of":[6,29,38,59,96,136,174,209,221,262,269],"parameter":[9,24,276],"is":[10,256],"a":[11],"significant":[12],"topic.":[13],"This":[14],"article":[15],"generalizes":[16],"some":[17,39],"different":[18,274],"methods":[19],"for":[20,78,117,156,277],"estimating":[21],"by":[25,226],"considering":[26],"work":[28],"Kibria":[30],"(2003":[31],"Kibria,":[32,190],"B.":[33,187],"M.":[34,147,188,192],"G.":[35,72,109,112,150,189,195],"2003.":[36],"Performance":[37],"new":[40],"regression":[42,79,201],"estimators.":[43],"Communications":[44,81,121,159],"in":[45,82,122,160,215],"Statistics":[46,83,123,161],"\u2013":[47,84,124,162],"Simulation":[48],"and":[49,66,71,86,104,111,126,143,149,164,180,194,237,272],"Computation":[50],"32":[51],"(2):419\u201335.":[52],"doi:":[53,90,130,168],"10.1081/SAC-120017499.[Taylor":[54],"&":[55,92,132,170],"Francis":[56,93,133,171],"Online],":[57,94,134,172],"[Web":[58,95,135,173],"Science":[60,97,137,175,210],"\u00ae]":[61,98,138,176,211],",":[62,99,139,177,212],"[Google":[63,100,140,178,213],"Scholar]),":[64,101,141],"Khalaf":[65],"Shukur":[67,105,144],"(2005":[68],"Khalaf,":[69,103,110],"G.,":[70,186],"Shukur.":[73,113,151,196],"2005.":[74],"Choosing":[75],"parameters":[77,155],"problem.":[80],"Theory":[85,125,163],"Methods":[87,127,165],"34":[88],"(5):1177\u201382.":[89],"10.1081/STA-200056836.[Taylor":[91],"Alkhamisi,":[102,107,146],"(2006":[106],"M.,":[108],"2006.":[114],"Some":[115],"modifications":[116],"choosing":[118],"parameters.":[120],"35":[128],"(11):2005\u201320.":[129],"10.1080/03610920600762905.[Taylor":[131],"Alkhamisi":[142],"(2008":[145],"A.,":[148],"2008.":[152],"Developing":[153],"SUR":[157],"Model.":[158],"37":[166],"(4):544\u201364.":[167],"10.1080/03610920701469152.[Taylor":[169],"Scholar])":[179,214],"Muniz":[181],"et":[182],"al.":[183],"(2012":[184],"Muniz,":[185],"K.":[191],"Mansson,":[193],"2012.":[197],"On":[198],"developing":[199],"parameters:":[202],"A":[203],"graphical":[204],"investigation.":[205],"SORT":[206],"36":[207],"(2):115\u201338.[Web":[208],"generalized":[216],"linear":[217],"models.":[218],"The":[219],"superiority":[220],"these":[222],"estimators":[223],"are":[224],"assessed":[225],"estimated":[228],"mean":[229],"squared":[230],"error":[231],"via":[232],"Monte":[233],"Carlo":[234],"simulation":[235,253],"study":[236],"real":[238],"data":[239],"set":[240],"where":[241],"response":[243],"follows":[244],"gamma":[245,278],"distribution":[246],"with":[247],"log":[248],"link":[249],"function.":[250],"this":[252],"study,":[254],"it":[255],"chosen":[257],"to":[258],"vary":[259],"degree":[261],"correlation,":[263],"sample":[265],"size,":[266],"number":[268],"explanatory":[270],"variables":[271],"shape":[275],"response.":[279]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}