{"id":"https://openalex.org/W4386946511","doi":"https://doi.org/10.29124/kjeas.1548.16","title":"Using Feasible Graphical Lasso Regression Method to Estimate the Parameters of General Linear Regression Model Under High Dimensional Data with Application","display_name":"Using Feasible Graphical Lasso Regression Method to Estimate the Parameters of General Linear Regression Model Under High Dimensional Data with Application","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4386946511","doi":"https://doi.org/10.29124/kjeas.1548.16"},"language":"en","primary_location":{"id":"doi:10.29124/kjeas.1548.16","doi":"https://doi.org/10.29124/kjeas.1548.16","is_oa":true,"landing_page_url":"http://dx.doi.org/10.29124/kjeas.1548.16","pdf_url":"https://kjeas.uowasit.edu.iq/index.php/kjeas/article/download/621/328","source":{"id":"https://openalex.org/S4387278305","display_name":"Al Kut Journal of Economic and Administrative Sciences","issn_l":"1999-558X","issn":["1999-558X","2707-4560"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4363603785","host_organization_name":"Wassit University","host_organization_lineage":["https://openalex.org/P4363603785"],"host_organization_lineage_names":["Wassit University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Al Kut Journal of Economics and Administrative Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://kjeas.uowasit.edu.iq/index.php/kjeas/article/download/621/328","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056502286","display_name":"Mohammed Farhan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Farhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ahmed Salih","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed Salih","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":0.1551,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.433897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"15","issue":"48","first_page":"321","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9570000171661377,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9570000171661377,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.03660000115633011,"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/T13141","display_name":"Statistical Methods and Applications","score":0.0010999999940395355,"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/high-dimensional-data","display_name":"high-dimensional data","score":0.7770000100135803},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.9409999847412109},{"id":"https://openalex.org/keywords/mean-squared-error-comparison","display_name":"mean squared error comparison","score":0.7210000157356262}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6758615374565125},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6592440605163574},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6295132637023926},{"id":"https://openalex.org/C31441030","wikidata":"https://www.wikidata.org/wiki/Q4291882","display_name":"Least absolute deviations","level":3,"score":0.6149063110351562},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.6062664985656738},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5427349805831909},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5353890657424927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5285082459449768},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5142300128936768},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4895061254501343},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4472283124923706},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.4191131591796875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36395061016082764},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.30553868412971497},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.29124/kjeas.1548.16","doi":"https://doi.org/10.29124/kjeas.1548.16","is_oa":true,"landing_page_url":"http://dx.doi.org/10.29124/kjeas.1548.16","pdf_url":"https://kjeas.uowasit.edu.iq/index.php/kjeas/article/download/621/328","source":{"id":"https://openalex.org/S4387278305","display_name":"Al Kut Journal of Economic and Administrative Sciences","issn_l":"1999-558X","issn":["1999-558X","2707-4560"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4363603785","host_organization_name":"Wassit University","host_organization_lineage":["https://openalex.org/P4363603785"],"host_organization_lineage_names":["Wassit University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Al Kut Journal of Economics and Administrative Sciences","raw_type":"journal-article"},{"id":"pmh:oai:ojs2.kjeas.uowasit.edu.iq:article/621","doi":null,"is_oa":true,"landing_page_url":"https://kjeas.uowasit.edu.iq/index.php/index/article/view/621","pdf_url":null,"source":{"id":"https://openalex.org/S4387278305","display_name":"Al Kut Journal of Economic and Administrative Sciences","issn_l":"1999-558X","issn":["1999-558X","2707-4560"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4363603785","host_organization_name":"Wassit University","host_organization_lineage":["https://openalex.org/P4363603785"],"host_organization_lineage_names":["Wassit University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1999-558X","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.29124/kjeas.1548.16","doi":"https://doi.org/10.29124/kjeas.1548.16","is_oa":true,"landing_page_url":"http://dx.doi.org/10.29124/kjeas.1548.16","pdf_url":"https://kjeas.uowasit.edu.iq/index.php/kjeas/article/download/621/328","source":{"id":"https://openalex.org/S4387278305","display_name":"Al Kut Journal of Economic and Administrative Sciences","issn_l":"1999-558X","issn":["1999-558X","2707-4560"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4363603785","host_organization_name":"Wassit University","host_organization_lineage":["https://openalex.org/P4363603785"],"host_organization_lineage_names":["Wassit University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Al Kut Journal of Economics and Administrative Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386946511.pdf","grobid_xml":"https://content.openalex.org/works/W4386946511.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7216770059","https://openalex.org/W7221274028","https://openalex.org/W3189704902","https://openalex.org/W2901817326","https://openalex.org/W2606116035","https://openalex.org/W4415542435","https://openalex.org/W2400771503","https://openalex.org/W3003182240","https://openalex.org/W4311134123","https://openalex.org/W3049519642"],"abstract_inverted_index":{"The":[0,58,117],"high":[1,18],"dimensions":[2],"problem":[3],"is":[4,134],"one":[5],"of":[6,17,55,68,84,111],"the":[7,12,22,56,66,69,81,93,109,114,121,127,131,135],"important":[8],"problems":[9],"that":[10,130],"affect":[11],"data,":[13],"and":[14,41,50,126],"with":[15],"company":[16],"dimensional":[19],"data":[20,100,107],"in":[21,113],"general":[23,70],"linear":[24,71],"regression":[25,72],"model,":[26],"it":[27],"becomes":[28],"very":[29],"difficult":[30],"to":[31,48,60,64],"use":[32,61],"classical":[33],"estimation":[34],"methods":[35,46,63,78],"such":[36],"as":[37,90,92,103,105],"maximum":[38],"likelihood":[39],"method":[40,43,97],"moments":[42],"because":[44],"these":[45],"lead":[47],"biased":[49],"inefficient":[51],"estimates":[52],"for":[53],"parameters":[54,67],"model.":[57,73],"necessity":[59],"new":[62],"estimate":[65],"In":[74],"this":[75],"research,":[76],"two":[77],"were":[79,101],"used,":[80,102],"Smooth":[82],"Integration":[83],"Counting":[85],"Absolute":[86],"Deviation":[87],"SICA":[88],"method,":[89],"well":[91,104],"Feasible":[94],"Graphical":[95],"Lasso":[96],"FGLasso.":[98],"Simulation":[99],"real":[106],"representing":[108],"level":[110],"pollution":[112],"Tigris":[115],"River.":[116],"results":[118,128],"compared":[119],"using":[120],"Mean":[122],"Square":[123],"Error":[124],"MSE":[125],"showed":[129],"FGLasso":[132],"estimator":[133],"best":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-09-23T00:00:00"}
