{"id":"https://openalex.org/W4223488160","doi":"https://doi.org/10.1080/03610918.2022.2061002","title":"Nonparametric multiplicative distortion measurement errors models with bias reduction","display_name":"Nonparametric multiplicative distortion measurement errors models with bias reduction","publication_year":2022,"publication_date":"2022-04-11","ids":{"openalex":"https://openalex.org/W4223488160","doi":"https://doi.org/10.1080/03610918.2022.2061002"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2061002","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2061002","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/A5020692924","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-4332-5182"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["College of Mathematics and Statistics, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4332-5182","affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020692924"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.2328,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52821957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"53","issue":"4","first_page":"1952","last_page":"1972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9876999855041504,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9728999733924866,"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/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.7859264612197876},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6804976463317871},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6264893412590027},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.6088711619377136},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.5424999594688416},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5377846360206604},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.5102386474609375},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49322742223739624},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48576000332832336},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.46671053767204285},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4564949572086334},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.4262320399284363},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3853227198123932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.20982488989830017}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7859264612197876},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6804976463317871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6264893412590027},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.6088711619377136},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.5424999594688416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5377846360206604},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.5102386474609375},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49322742223739624},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48576000332832336},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.46671053767204285},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4564949572086334},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.4262320399284363},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3853227198123932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20982488989830017},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2061002","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2061002","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":[{"id":"https://openalex.org/G8058234035","display_name":"\u57fa\u4e8e\u5355\u7ec6\u80de\u6d4b\u5e8f\u7684\u8d85\u9ad8\u7ef4\u6570\u636e\u7684\u7edf\u8ba1\u65b9\u6cd5\u7814\u7a76","funder_award_id":"12071305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1498947193","https://openalex.org/W1971713783","https://openalex.org/W1981095295","https://openalex.org/W2020371156","https://openalex.org/W2034180713","https://openalex.org/W2046977371","https://openalex.org/W2062151392","https://openalex.org/W2064718511","https://openalex.org/W2078311341","https://openalex.org/W2087089605","https://openalex.org/W2094206125","https://openalex.org/W2167868225","https://openalex.org/W2550910743","https://openalex.org/W2560114309","https://openalex.org/W2595585908","https://openalex.org/W2766509234","https://openalex.org/W2789665435","https://openalex.org/W2792413178","https://openalex.org/W2916392714","https://openalex.org/W2920899562","https://openalex.org/W2921519938","https://openalex.org/W2954732189","https://openalex.org/W2954888364","https://openalex.org/W2962856767","https://openalex.org/W2998660899","https://openalex.org/W3015112821","https://openalex.org/W3015211288","https://openalex.org/W3023193272","https://openalex.org/W3044644765","https://openalex.org/W3044737039","https://openalex.org/W3101590008","https://openalex.org/W3102693992","https://openalex.org/W3156146743","https://openalex.org/W3156578372","https://openalex.org/W3192281216","https://openalex.org/W3201401391","https://openalex.org/W3217329827","https://openalex.org/W4205831372","https://openalex.org/W4213329753","https://openalex.org/W4233014035","https://openalex.org/W4302414222"],"related_works":["https://openalex.org/W2093140805","https://openalex.org/W2913076862","https://openalex.org/W1519331308","https://openalex.org/W1541412963","https://openalex.org/W2184572292","https://openalex.org/W1968184032","https://openalex.org/W1509119367","https://openalex.org/W4321367829","https://openalex.org/W2041704562","https://openalex.org/W4309301076"],"abstract_inverted_index":{"In":[0],"this":[1,60],"paper":[2],"we":[3],"propose":[4],"a":[5,23,38,54,85],"new":[6,61],"nonparametric":[7,96],"regression":[8,47,71],"technique":[9,62],"under":[10],"multiplicative":[11,24],"distortion":[12],"measurement":[13],"errors":[14],"settings.":[15],"The":[16],"unobservable":[17],"variables":[18],"are":[19],"both":[20],"distorted":[21],"in":[22,53,67,73],"fashion":[25],"by":[26,36],"an":[27],"observed":[28],"confounding":[29],"variable.":[30],"A":[31],"bias":[32],"reduction":[33],"is":[34,41],"proposed":[35,117],"choosing":[37],"function":[39,48],"that":[40,59],"the":[42,45,50,68,76,82,94,113,116],"projection":[43],"of":[44,70,81,84,115],"unknown":[46],"onto":[49],"parametric":[51,86],"family":[52],"certain":[55],"metric.":[56],"We":[57,88,105],"find":[58],"leads":[63],"to":[64,111],"substantial":[65],"improvement":[66],"performance":[69,114],"estimators":[72],"comparison":[74],"with":[75],"direct":[77],"one-step":[78],"estimation,":[79],"irrespective":[80],"choice":[83],"model.":[87],"obtain":[89],"asymptotic":[90],"normality":[91],"results":[92],"for":[93],"estimated":[95],"kernel":[97],"smoothers,":[98],"and":[99],"further":[100],"discuss":[101],"their":[102],"estimation":[103],"efficiency.":[104],"conduct":[106],"Monte":[107],"Carlo":[108],"simulation":[109],"experiments":[110],"examine":[112],"estimators.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}