{"id":"https://openalex.org/W2139242425","doi":"https://doi.org/10.1080/01621459.1984.10478058","title":"A Method for Estimating Distributed Lags When Observations are Randomly Missing","display_name":"A Method for Estimating Distributed Lags When Observations are Randomly Missing","publication_year":1984,"publication_date":"1984-06-01","ids":{"openalex":"https://openalex.org/W2139242425","doi":"https://doi.org/10.1080/01621459.1984.10478058","mag":"2139242425"},"language":"en","primary_location":{"id":"doi:10.1080/01621459.1984.10478058","doi":"https://doi.org/10.1080/01621459.1984.10478058","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01621459.1984.10478058","pdf_url":null,"source":{"id":"https://openalex.org/S4394736638","display_name":"Journal of the American Statistical Association","issn_l":"0162-1459","issn":["0162-1459","1537-274X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","cwts-core","doyens","jufo-3","ki-jl-3","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Statistical Association","raw_type":"journal-article"},"volume":null,"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/A5111767972","display_name":"Melvin J. Hinich","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melvin J. Hinich","raw_affiliation_strings":["University of Texas, Austin, TX, 78712, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin, TX, 78712, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041403418","display_name":"Warren E. Weber","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Warren E. Weber","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA","Virginia Polytechnic Institute & State University, Blacksburg, VA 24061 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Polytechnic Institute & State University, Blacksburg, VA 24061 USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7189,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72676267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"79","issue":"386","first_page":"368","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.8657000064849854,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.8657000064849854,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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":0.053599998354911804,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.03359999880194664,"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/impulse-response-functions","display_name":"impulse response functions","score":0.7269999980926514},{"id":"https://openalex.org/keywords/frequency-domain-estimation","display_name":"frequency-domain estimation","score":0.8769999742507935},{"id":"https://openalex.org/keywords/transfer-function-estimation","display_name":"transfer function identification","score":0.7319999933242798},{"id":"https://openalex.org/keywords/stationary-processes","display_name":"stationary processes","score":0.8320000171661377},{"id":"https://openalex.org/keywords/asymptotic-variance","display_name":"asymptotic variance","score":0.8560000061988831},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.5709999799728394}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6995198726654053},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.6632390022277832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6167246103286743},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.6103242039680481},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48622241616249084},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4775739014148712},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4740954339504242},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.46614351868629456},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46076488494873047},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4517405331134796},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.44959843158721924},{"id":"https://openalex.org/C971699","wikidata":"https://www.wikidata.org/wiki/Q1132714","display_name":"Delta method","level":3,"score":0.44732001423835754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26022398471832275},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15974050760269165},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01621459.1984.10478058","doi":"https://doi.org/10.1080/01621459.1984.10478058","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01621459.1984.10478058","pdf_url":null,"source":{"id":"https://openalex.org/S4394736638","display_name":"Journal of the American Statistical Association","issn_l":"0162-1459","issn":["0162-1459","1537-274X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","cwts-core","doyens","jufo-3","ki-jl-3","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Statistical Association","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W80274445","https://openalex.org/W2049287603","https://openalex.org/W2080041432","https://openalex.org/W2098301339","https://openalex.org/W2110429782","https://openalex.org/W2119546029","https://openalex.org/W2476147795","https://openalex.org/W3015297855","https://openalex.org/W4253934678","https://openalex.org/W4285719527","https://openalex.org/W4301410333"],"related_works":["https://openalex.org/W4248476026","https://openalex.org/W2065850375","https://openalex.org/W2439220085","https://openalex.org/W2371063555","https://openalex.org/W2001543242","https://openalex.org/W1966770547","https://openalex.org/W2017782810","https://openalex.org/W1991840164","https://openalex.org/W2028384400","https://openalex.org/W2039709877"],"abstract_inverted_index":{"Abstract":[0],":":[1],"This":[2],"paper":[3],"presents":[4],"a":[5],"frequency-domain":[6],"technique":[7,22,63],"for":[8],"estimating":[9],"distributed":[10],"lag":[11,42],"coefficients":[12,43],"(the":[13],"impulse-response":[14],"function)":[15],"when":[16,67,81],"observations":[17,29],"are":[18,44],"randomly":[19,27],"missed.":[20],"The":[21,89],"treats":[23],"stationary":[24],"processes":[25,32],"with":[26,57],"missed":[28,74],"as":[30,85,87],"amplitude-modulated":[31],"and":[33,77],"estimates":[34],"the":[35,41,48,52,68,82,94,100],"transfer":[36,54],"function":[37],"accordingly.":[38],"Estimates":[39],"of":[40,51,70,93],"obtained":[45],"by":[46],"taking":[47],"inverse":[49],"transform":[50],"estimated":[53],"function.":[55],"Results":[56],"artificially":[58],"created":[59],"data":[60],"show":[61],"that":[62],"performs":[64],"well":[65],"even":[66],"probability":[69,83],"an":[71],"observation":[72],"being":[73],"is":[75,84,96],"one-half":[76],"in":[78,99],"some":[79],"cases":[80],"low":[86],"one-fifth.":[88],"approximate":[90],"asymptotic":[91],"variance":[92],"estimator":[95],"also":[97],"calculated":[98],"paper.":[101],"(Author)":[102]},"counts_by_year":[],"updated_date":"2026-08-03T07:22:36.454288","created_date":"2025-10-10T00:00:00"}
