{"id":"https://openalex.org/W2963018549","doi":"https://doi.org/10.3103/s0146411619030088","title":"A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric Uncertainty","display_name":"A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric Uncertainty","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2963018549","doi":"https://doi.org/10.3103/s0146411619030088","mag":"2963018549"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411619030088","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411619030088","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, LV-1050, Riga, Latvia"],"affiliations":[{"raw_affiliation_string":"BVEF Research Institute, University of Latvia, LV-1050, Riga, 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":["BVEF Research Institute, University of Latvia, LV-1050, Riga, Latvia"],"affiliations":[{"raw_affiliation_string":"BVEF Research Institute, University of Latvia, LV-1050, Riga, Latvia","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"middle","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":["Aviation Department, Transport and Telecommunication Institute, LV-1019, Riga, Latvia"],"affiliations":[{"raw_affiliation_string":"Aviation Department, Transport and Telecommunication Institute, LV-1019, Riga, Latvia","institution_ids":["https://openalex.org/I24568809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069545001","display_name":"Juris Krasts","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":"J. Krasts","raw_affiliation_strings":["BVEF Research Institute, University of Latvia, LV-1050, Riga, Latvia"],"affiliations":[{"raw_affiliation_string":"BVEF Research Institute, University of Latvia, LV-1050, Riga, Latvia","institution_ids":["https://openalex.org/I91123046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075186748"],"corresponding_institution_ids":["https://openalex.org/I91123046"],"apc_list":null,"apc_paid":null,"fwci":1.9927,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89682282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"53","issue":"3","first_page":"223","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9986000061035156,"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":0.9986000061035156,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11357","display_name":"Risk and Safety Analysis","score":0.993399977684021,"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/computer-science","display_name":"Computer science","score":0.6998410820960999},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5896766781806946},{"id":"https://openalex.org/keywords/order-statistic","display_name":"Order statistic","score":0.5627449154853821},{"id":"https://openalex.org/keywords/warranty","display_name":"Warranty","score":0.5290236473083496},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.49612292647361755},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4935668706893921},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.48693549633026123},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.48607876896858215},{"id":"https://openalex.org/keywords/inverse-gaussian-distribution","display_name":"Inverse Gaussian distribution","score":0.4661238193511963},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.4640376567840576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39165449142456055},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3607432544231415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35032588243484497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33546948432922363},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.2863633334636688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2607383728027344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1862240731716156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6998410820960999},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5896766781806946},{"id":"https://openalex.org/C44082924","wikidata":"https://www.wikidata.org/wiki/Q1767128","display_name":"Order statistic","level":2,"score":0.5627449154853821},{"id":"https://openalex.org/C2779056723","wikidata":"https://www.wikidata.org/wiki/Q329717","display_name":"Warranty","level":2,"score":0.5290236473083496},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.49612292647361755},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4935668706893921},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.48693549633026123},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.48607876896858215},{"id":"https://openalex.org/C132878287","wikidata":"https://www.wikidata.org/wiki/Q1671727","display_name":"Inverse Gaussian distribution","level":3,"score":0.4661238193511963},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.4640376567840576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39165449142456055},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3607432544231415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35032588243484497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33546948432922363},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2863633334636688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2607383728027344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1862240731716156},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411619030088","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411619030088","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W65478050","https://openalex.org/W1966549398","https://openalex.org/W1967402487","https://openalex.org/W1970329499","https://openalex.org/W1975637444","https://openalex.org/W1976830048","https://openalex.org/W1978083460","https://openalex.org/W1983473170","https://openalex.org/W1986825443","https://openalex.org/W1997823124","https://openalex.org/W1998354248","https://openalex.org/W2016450442","https://openalex.org/W2026589428","https://openalex.org/W2036077279","https://openalex.org/W2040066666","https://openalex.org/W2042031536","https://openalex.org/W2072214560","https://openalex.org/W2077983750","https://openalex.org/W2079426926","https://openalex.org/W2094477489","https://openalex.org/W2120793724","https://openalex.org/W2137048831","https://openalex.org/W2279721067","https://openalex.org/W2343543415","https://openalex.org/W2565595360","https://openalex.org/W2579240251","https://openalex.org/W2768735944","https://openalex.org/W2911804094","https://openalex.org/W2924754085","https://openalex.org/W3003514415","https://openalex.org/W4234099099","https://openalex.org/W4248370127","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2495679477","https://openalex.org/W2333711245","https://openalex.org/W4322155207","https://openalex.org/W2012496545","https://openalex.org/W2331762847","https://openalex.org/W1670613743","https://openalex.org/W2124287587","https://openalex.org/W1973996936","https://openalex.org/W2063623875","https://openalex.org/W2743234026"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2,70],"a":[3,22,43,63,71,102,154,178],"new":[4],"technique":[5,141],"for":[6,35,92,97],"constructing":[7],"unbiased":[8],"statistical":[9,82,120],"prediction":[10,33,83,130],"limits":[11,34,84,96,131],"on":[12,89],"order":[13],"statistics":[14],"of":[15,21,65,73,78,101,105,125,149,156],"future":[16,90,99],"samples":[17],"using":[18],"the":[19,26,36,56,59,76,79,98,123,147,157],"results":[20,48],"previous":[23],"sample":[24],"from":[25,42],"same":[27],"underlying":[28],"inverse":[29,37],"Gaussian":[30,38],"distribution.":[31],"Statistical":[32],"distribution":[39,159],"are":[40,85,132],"obtained":[41],"classical":[44],"frequentist":[45],"viewpoint.":[46],"The":[47,81,128,140,168],"have":[49],"direct":[50],"application":[51],"in":[52,62,68,111,122],"reliability":[53],"theory,":[54],"where":[55],"time":[57],"until":[58],"first":[60],"failure":[61],"group":[64],"several":[66],"items":[67],"service":[69],"measure":[72],"assurance":[74],"regarding":[75],"operation":[77],"items.":[80],"required":[86],"as":[87,94,135],"specifications":[88],"life":[91],"components,":[93],"warranty":[95,136],"performance":[100],"specified":[103],"number":[104],"systems":[106],"with":[107],"standby":[108],"units,":[109],"and":[110,160,164],"various":[112],"other":[113],"applications.":[114],"Prediction":[115],"limit":[116],"is":[117,161,170,181],"an":[118],"important":[119],"tool":[121],"area":[124],"quality":[126],"control.":[127],"lower":[129],"often":[133],"used":[134,142],"criteria":[137],"by":[138],"manufacturers.":[139],"here":[143],"does":[144],"not":[145],"require":[146],"construction":[148],"any":[150],"tables.":[151],"It":[152],"requires":[153],"quantile":[155],"beta":[158],"conceptually":[162],"simple":[163],"easy":[165],"to":[166,172],"use.":[167],"discussion":[169],"restricted":[171],"one-sided":[173],"tolerance":[174],"limits.":[175],"For":[176],"illustration,":[177],"numerical":[179],"example":[180],"given.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
