{"id":"https://openalex.org/W2091367341","doi":"https://doi.org/10.1080/03610910802233920","title":"Estimating LAD Regression Coefficients with Best Subset Points","display_name":"Estimating LAD Regression Coefficients with Best Subset Points","publication_year":2008,"publication_date":"2008-09-23","ids":{"openalex":"https://openalex.org/W2091367341","doi":"https://doi.org/10.1080/03610910802233920","mag":"2091367341"},"language":"en","primary_location":{"id":"doi:10.1080/03610910802233920","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910802233920","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/A5061090993","display_name":"Hyun Jip Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I28615091","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46","country_code":"KR","type":"education","lineage":["https://openalex.org/I28615091"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyun Jip Choi","raw_affiliation_strings":["Kyonggi University","Department of Applied Information Statistics, Kyonggi University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Kyonggi University","institution_ids":["https://openalex.org/I28615091"]},{"raw_affiliation_string":"Department of Applied Information Statistics, Kyonggi University, Suwon, Korea","institution_ids":["https://openalex.org/I28615091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061090993"],"corresponding_institution_ids":["https://openalex.org/I28615091"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08720078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"9","first_page":"1799","last_page":"1809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9979000091552734,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9966999888420105,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9940999746322632,"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/backtracking","display_name":"Backtracking","score":0.6453698873519897},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.6438595652580261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5542084574699402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5280947089195251},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5077263116836548},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5026941299438477},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5024480819702148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44616973400115967},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.43175452947616577},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4165268540382385},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3768141269683838},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30295610427856445}],"concepts":[{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.6453698873519897},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.6438595652580261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5542084574699402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5280947089195251},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5077263116836548},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5026941299438477},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5024480819702148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44616973400115967},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.43175452947616577},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4165268540382385},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3768141269683838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30295610427856445},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910802233920","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910802233920","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321268","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1600746600","https://openalex.org/W1691300750","https://openalex.org/W2047892694","https://openalex.org/W2059398303","https://openalex.org/W2068861059","https://openalex.org/W2086847993","https://openalex.org/W2114929332","https://openalex.org/W2491438346","https://openalex.org/W3117919920","https://openalex.org/W4241653265","https://openalex.org/W4251766155"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W1969346022","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W3174513558"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,32,47],"simple":[3,103],"algorithm":[4,15,56,69,100],"for":[5,57,113],"estimating":[6],"LAD":[7,58],"(least-sum":[8],"of":[9,31,54,75,121],"absolute":[10],"deviations)":[11],"regression":[12],"coefficients.":[13],"The":[14,64],"finds":[16],"the":[17,25,29,38,42,52,55,68,81,99,119],"best":[18],"subset":[19],"points":[20],"to":[21,23,46,79,106],"use":[22],"obtain":[24],"global":[26],"optimizer":[27],"in":[28,73,86],"series":[30],"backtracking":[33],"process":[34],"by":[35],"narrowing":[36],"down":[37],"search":[39],"space.":[40],"Hence,":[41],"computational":[43],"complexity":[44],"reduces":[45],"practical":[48],"level.":[49],"To":[50],"evaluate":[51],"performance":[53],"regression,":[59],"we":[60],"conducted":[61],"simulation":[62],"studies.":[63],"results":[65,85],"showed":[66],"that":[67,117],"is":[70,95,101],"very":[71],"competitive":[72],"terms":[74],"computation":[76],"times":[77],"required":[78],"get":[80],"same":[82],"or":[83],"similar":[84],"comparison":[87],"with":[88],"other":[89],"methods":[90],"even":[91],"when":[92],"heavy":[93],"censoring":[94],"given.":[96],"Moreover,":[97],"because":[98],"quite":[102],"and":[104],"easy":[105],"understand,":[107],"it":[108],"can":[109],"be":[110],"implemented":[111],"easily":[112],"various":[114],"objective":[115],"functions":[116],"are":[118],"variations":[120],"LAD.":[122]},"counts_by_year":[],"updated_date":"2026-03-06T06:45:51.903784","created_date":"2025-10-10T00:00:00"}