{"id":"https://openalex.org/W2564293760","doi":"https://doi.org/10.1080/03610918.2016.1271892","title":"A resampling method by perturbing the estimating functions for quantile regression with missing data","display_name":"A resampling method by perturbing the estimating functions for quantile regression with missing data","publication_year":2016,"publication_date":"2016-12-22","ids":{"openalex":"https://openalex.org/W2564293760","doi":"https://doi.org/10.1080/03610918.2016.1271892","mag":"2564293760"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2016.1271892","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1271892","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/A5100425539","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0002-3132-744X"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Economics and Management, Northwest University, Xian, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Northwest University, Xian, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043395097","display_name":"Cunjie Lin","orcid":"https://orcid.org/0000-0001-5043-0680"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunjie Lin","raw_affiliation_strings":["School of Statistics, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110633405","display_name":"Yong Zhou","orcid":"https://orcid.org/0000-0001-9751-3141"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]},{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhou","raw_affiliation_strings":["Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100425539"],"corresponding_institution_ids":["https://openalex.org/I37802460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14021321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"46","issue":"8","first_page":"6661","last_page":"6671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9886000156402588,"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":0.9850000143051147,"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/resampling","display_name":"Resampling","score":0.8902078866958618},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.7921326160430908},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7886059284210205},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.7850154638290405},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7234373092651367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6782453060150146},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6125697493553162},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6097597479820251},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48642492294311523},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45586681365966797},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.448944091796875},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.38261330127716064}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8902078866958618},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.7921326160430908},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7886059284210205},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.7850154638290405},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7234373092651367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6782453060150146},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6125697493553162},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6097597479820251},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48642492294311523},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45586681365966797},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.448944091796875},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.38261330127716064}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2016.1271892","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1271892","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":[{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1480812382","https://openalex.org/W1941761140","https://openalex.org/W1973798704","https://openalex.org/W2012812123","https://openalex.org/W2030575811","https://openalex.org/W2033158547","https://openalex.org/W2035564857","https://openalex.org/W2052277002","https://openalex.org/W2088177408","https://openalex.org/W2096833041","https://openalex.org/W2100358124","https://openalex.org/W2108390884","https://openalex.org/W2117897510","https://openalex.org/W2129595192","https://openalex.org/W2139539678"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W3014605311","https://openalex.org/W4318833145","https://openalex.org/W2364275385","https://openalex.org/W4388704167","https://openalex.org/W2007977664","https://openalex.org/W1965635691"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"propose":[4],"a":[5],"resampling":[6,36],"method":[7,49],"based":[8,66],"on":[9,67],"perturbing":[10],"the":[11,16,31,35,42,56],"estimating":[12],"functions":[13],"to":[14,41],"compute":[15],"asymptotic":[17],"variances":[18],"of":[19,34,44,60],"quantile":[20,45],"regression":[21,46],"estimators":[22,37],"under":[23,74],"missing":[24],"at":[25],"random":[26],"condition.":[27],"We":[28],"prove":[29],"that":[30],"conditional":[32],"distributions":[33,43],"are":[38,62,72],"asymptotically":[39],"equivalent":[40],"estimators.":[47],"Our":[48],"can":[50],"deal":[51],"with":[52],"complex":[53],"situations,":[54],"where":[55],"response":[57],"and":[58,69],"part":[59],"covariates":[61],"missing.":[63],"Numerical":[64],"results":[65],"simulated":[68],"real":[70],"data":[71],"provided":[73],"several":[75],"designs.":[76]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}