{"id":"https://openalex.org/W2768735944","doi":"https://doi.org/10.3103/s0146411617050054","title":"Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach","display_name":"Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2768735944","doi":"https://doi.org/10.3103/s0146411617050054","mag":"2768735944"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411617050054","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411617050054","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5075186748","display_name":"Nicholas A. Nechval","orcid":"https://orcid.org/0000-0002-2234-8230"},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":true,"raw_author_name":"N. A. Nechval","raw_affiliation_strings":["BVEF Research Institute, University of Latvia, Riga, LV-1050, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BVEF Research Institute, University of Latvia, Riga, LV-1050, Latvia","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"middle","author":{"id":null,"display_name":"G. Berzins","orcid":null},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"G. Berzins","raw_affiliation_strings":["Faculty of Business, Management and Economics, University of Latvia, Riga, LV-1050, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Business, Management and Economics, University of Latvia, Riga, LV-1050, Latvia","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035747515","display_name":"Signe B\u0101li\u0146a","orcid":"https://orcid.org/0000-0001-7974-4712"},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"S. Balina","raw_affiliation_strings":["Faculty of Business, Management and Economics, University of Latvia, Riga, LV-1050, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Business, Management and Economics, University of Latvia, Riga, LV-1050, Latvia","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078470017","display_name":"Inna \u0160teinbuka","orcid":null},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"I. Steinbuka","raw_affiliation_strings":["Faculty of Business, Management and Economics, University of Latvia, Riga, LV-1050, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Business, Management and Economics, University of Latvia, Riga, LV-1050, Latvia","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064436833","display_name":"Konstantin N. Nechval","orcid":"https://orcid.org/0009-0003-1876-5933"},"institutions":[{"id":"https://openalex.org/I24568809","display_name":"Transport and Telecommunication Institute","ror":"https://ror.org/01628w679","country_code":"LV","type":"education","lineage":["https://openalex.org/I24568809"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"K. N. Nechval","raw_affiliation_strings":["Department of Applied Mathematics, Transport and Telecommunication Institute, Riga, LV-1019, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Transport and Telecommunication Institute, Riga, LV-1019, Latvia","institution_ids":["https://openalex.org/I24568809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075186748"],"corresponding_institution_ids":["https://openalex.org/I91123046"],"apc_list":null,"apc_paid":null,"fwci":1.3923,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83029581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"51","issue":"5","first_page":"331","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9986000061035156,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.6482704877853394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6094467639923096},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6035599112510681},{"id":"https://openalex.org/keywords/order-statistic","display_name":"Order statistic","score":0.5770221948623657},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5755360722541809},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.5348267555236816},{"id":"https://openalex.org/keywords/sample-space","display_name":"Sample space","score":0.4894756078720093},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47283419966697693},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4576070308685303},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4503190219402313},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4219169616699219},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4130250811576843},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3307003974914551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32111626863479614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10615310072898865}],"concepts":[{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.6482704877853394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6094467639923096},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6035599112510681},{"id":"https://openalex.org/C44082924","wikidata":"https://www.wikidata.org/wiki/Q1767128","display_name":"Order statistic","level":2,"score":0.5770221948623657},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5755360722541809},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.5348267555236816},{"id":"https://openalex.org/C100279318","wikidata":"https://www.wikidata.org/wiki/Q467440","display_name":"Sample space","level":2,"score":0.4894756078720093},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47283419966697693},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4576070308685303},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4503190219402313},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4219169616699219},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4130250811576843},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3307003974914551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32111626863479614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10615310072898865},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411617050054","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411617050054","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W55676608","https://openalex.org/W1534133012","https://openalex.org/W1542650441","https://openalex.org/W1963692958","https://openalex.org/W1970329499","https://openalex.org/W1993213901","https://openalex.org/W2014158023","https://openalex.org/W2046483399","https://openalex.org/W2063203758","https://openalex.org/W2068720102","https://openalex.org/W2071076722","https://openalex.org/W2075536028","https://openalex.org/W2126335111","https://openalex.org/W2143493921","https://openalex.org/W2163147185","https://openalex.org/W2257075527","https://openalex.org/W2343543415","https://openalex.org/W2579240251","https://openalex.org/W3015317271","https://openalex.org/W3206652488","https://openalex.org/W6866868338"],"related_works":["https://openalex.org/W2379986491","https://openalex.org/W4390513996","https://openalex.org/W2515358769","https://openalex.org/W2158920071","https://openalex.org/W1600097617","https://openalex.org/W2964893535","https://openalex.org/W2120978269","https://openalex.org/W4384912914","https://openalex.org/W2958936097","https://openalex.org/W2184380553"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,32,46,71,92,183,231],"new":[4],"simple,":[5],"efficient":[6],"and":[7,13,77,135,173,203,225,236],"useful":[8],"technique":[9],"for":[10,45,60,88,169],"constructing":[11],"lower":[12,94],"upper":[14],"unbiased":[15],"prediction":[16],"limits":[17,36],"on":[18,190],"outcomes":[19],"in":[20],"future":[21,138],"samples":[22,142],"under":[23,182],"parametric":[24],"uncertainty":[25],"of":[26,56,74,103,107,156,185,200],"underlying":[27,51],"models.":[28],"For":[29,229],"instance,":[30],"consider":[31],"situation":[33],"where":[34],"such":[35],"are":[37,140,210,239],"required.":[38],"A":[39,241],"customer":[40,68],"has":[41,49],"placed":[42],"an":[43,50,104],"order":[44],"product":[47],"which":[48],"time-to-failure":[52],"distribution.":[53],"The":[54,96,158,216],"terms":[55],"his":[57],"purchase":[58],"call":[59],"k":[61,122],"monthly":[62],"shipments.":[63],"From":[64],"each":[65],"shipment":[66,80],"the":[67,79,83,101,116,131,136,144,177,191,198,207],"will":[69,124],"select":[70],"random":[72,141],"sample":[73,90,106],"q":[75],"units":[76,109,134,139],"accept":[78],"only":[81],"if":[82],"smallest":[84],"time":[85],"to":[86,99,110,153,227],"failure":[87],"this":[89,112,148],"exceeds":[91],"specified":[93],"limit.":[95],"manufacturer":[97],"wishes":[98],"use":[100],"results":[102],"experimental":[105,133],"n":[108,132],"calculate":[111],"limit":[113],"so":[114],"that":[115,120,130,187],"probability":[117],"is":[118,128,151,174,180,204,222,245],"\u03b3":[119],"all":[121],"shipments":[123],"be":[125],"accepted.":[126],"It":[127,194],"assumed":[129],"kq":[137],"from":[143],"same":[145],"population.":[146],"In":[147],"paper,":[149],"attention":[150],"restricted":[152],"invariant":[154,181],"families":[155],"distributions.":[157],"pivotal":[159,166,218],"quantity":[160,219],"averaging":[161,220],"approach":[162,221],"used":[163],"here":[164],"emphasizes":[165],"quantities":[167],"relevant":[168],"obtaining":[170],"ancillary":[171],"statistics":[172],"applicable":[175,205],"whenever":[176],"statistical":[178],"problem":[179],"group":[184],"transformations":[186],"acts":[188],"transitively":[189],"parameter":[192],"space.":[193],"does":[195],"not":[196],"require":[197],"construction":[199],"any":[201],"tables":[202],"whether":[206],"past":[208],"data":[209],"complete":[211],"or":[212],"Type":[213],"II":[214],"censored.":[215],"proposed":[217],"conceptually":[223],"simple":[224],"easy":[226],"use.":[228],"illustration,":[230],"left-truncated":[232],"Weibull,":[233],"two-parameter":[234],"exponential,":[235],"Pareto":[237],"distribution":[238],"considered.":[240],"practical":[242],"numerical":[243],"example":[244],"given.":[246]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}