{"id":"https://openalex.org/W4250066673","doi":"https://doi.org/10.1080/00401706.1999.10485925","title":"Estimating Fatigue Curves With the Random Fatigue-Limit Model","display_name":"Estimating Fatigue Curves With the Random Fatigue-Limit Model","publication_year":1999,"publication_date":"1999-11-01","ids":{"openalex":"https://openalex.org/W4250066673","doi":"https://doi.org/10.1080/00401706.1999.10485925"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.1999.10485925","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1999.10485925","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","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/A5110776158","display_name":"Francis Pascual","orcid":null},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francis G. Pascual","raw_affiliation_strings":["Washington State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086128963","display_name":"William Q. Meeker","orcid":"https://orcid.org/0000-0002-5366-0294"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Q. Meeker","raw_affiliation_strings":["Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5776,"has_fulltext":false,"cited_by_count":212,"citation_normalized_percentile":{"value":0.78023107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"41","issue":"4","first_page":"277","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9990000128746033,"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":0.9990000128746033,"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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.8086075782775879},{"id":"https://openalex.org/keywords/fatigue-limit","display_name":"Fatigue limit","score":0.6278177499771118},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.6238677501678467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5974085927009583},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.5743950009346008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5075548887252808},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4435702860355377},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.44130218029022217},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.41146671772003174},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.19215458631515503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13026845455169678},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1219247579574585},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0818694531917572}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8086075782775879},{"id":"https://openalex.org/C131850400","wikidata":"https://www.wikidata.org/wiki/Q1172868","display_name":"Fatigue limit","level":2,"score":0.6278177499771118},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.6238677501678467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5974085927009583},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.5743950009346008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5075548887252808},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4435702860355377},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.44130218029022217},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.41146671772003174},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.19215458631515503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13026845455169678},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1219247579574585},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0818694531917572},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.1999.10485925","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1999.10485925","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310160","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45"},{"id":"https://openalex.org/F4320311090","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W163988223","https://openalex.org/W1577594392","https://openalex.org/W1982794402","https://openalex.org/W1987899614","https://openalex.org/W1988350059","https://openalex.org/W1990471340","https://openalex.org/W2058815839","https://openalex.org/W2075931121","https://openalex.org/W2084719311","https://openalex.org/W2091478206","https://openalex.org/W2159029727","https://openalex.org/W2160822894","https://openalex.org/W2164814575","https://openalex.org/W2925032220","https://openalex.org/W4206698960","https://openalex.org/W4232956181","https://openalex.org/W4233921518","https://openalex.org/W4236150937","https://openalex.org/W4250675259"],"related_works":["https://openalex.org/W1488761988","https://openalex.org/W2044551864","https://openalex.org/W2047938026","https://openalex.org/W1572557500","https://openalex.org/W4390690393","https://openalex.org/W3124946120","https://openalex.org/W2585269888","https://openalex.org/W3132003399","https://openalex.org/W2909697207","https://openalex.org/W2904743672"],"abstract_inverted_index":{"In":[0],"a":[1,23],"fatigue-limit":[2,25],"model,":[3,104],"units":[4],"tested":[5],"below":[6],"the":[7,13,30,36,40,47,51,55,67,76,100,103],"fatigue":[8,33,43,52,59],"limit":[9],"(also":[10],"known":[11],"as":[12],"threshold":[14],"stress)":[15],"theoretically":[16],"will":[17],"never":[18],"fail.":[19],"This":[20],"article":[21],"uses":[22],"random":[24],"model":[26,56],"to":[27,57,83],"describe":[28],"(a)":[29],"dependence":[31],"of":[32,75,81,102],"life":[34,77],"on":[35,89],"stress":[37],"level,":[38],"(b)":[39],"variation":[41,49],"in":[42,50],"life,":[44],"and":[45,65,109,113],"(c)":[46],"unit-tounit":[48],"limit.We":[53],"fit":[54],"actual":[58],"datasets":[60],"by":[61],"maximum":[62],"likelihood":[63,90],"methods":[64,92],"study":[66],"fits":[68,101],"under":[69],"different":[70],"distributional":[71],"assumptions.":[72],"Small":[73],"quantiles":[74],"distribution":[78],"are":[79,93],"often":[80],"interest":[82],"designers.":[84],"Lower":[85],"confidence":[86],"bounds":[87],"based":[88],"ratio":[91],"obtained":[94],"for":[95],"such":[96],"quantiles.":[97],"To":[98],"assess":[99],"we":[105],"construct":[106],"diagnostic":[107],"plots":[108],"perform":[110],"goodness-of-fit":[111],"tests":[112],"residual":[114],"analyses.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
