{"id":"https://openalex.org/W3030471910","doi":"https://doi.org/10.1145/3387168.3387253","title":"Confidence Intervals for Single Coefficient of Variation of Weibull Distribution","display_name":"Confidence Intervals for Single Coefficient of Variation of Weibull Distribution","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W3030471910","doi":"https://doi.org/10.1145/3387168.3387253","mag":"3030471910"},"language":"en","primary_location":{"id":"doi:10.1145/3387168.3387253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3387168.3387253","pdf_url":null,"source":{"id":"https://openalex.org/S4306523820","display_name":"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003844600","display_name":"Manussaya La-ongkaew","orcid":null},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Manussaya La-ongkaew","raw_affiliation_strings":["Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030283463","display_name":"Sa\u2010Aat Niwitpong","orcid":"https://orcid.org/0000-0001-8269-3397"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sa-Aat Niwitpong","raw_affiliation_strings":["Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013080807","display_name":"Suparat Niwitpong","orcid":"https://orcid.org/0000-0003-3059-1131"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suparat Niwitpong","raw_affiliation_strings":["Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82828225"],"apc_list":null,"apc_paid":null,"fwci":3.1453,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91588785,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9979000091552734,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9979000091552734,"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":0.9853000044822693,"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":0.9835000038146973,"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/confidence-interval","display_name":"Confidence interval","score":0.8372117280960083},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.7617438435554504},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.7616486549377441},{"id":"https://openalex.org/keywords/cdf-based-nonparametric-confidence-interval","display_name":"CDF-based nonparametric confidence interval","score":0.7143356204032898},{"id":"https://openalex.org/keywords/robust-confidence-intervals","display_name":"Robust confidence intervals","score":0.6853572726249695},{"id":"https://openalex.org/keywords/confidence-distribution","display_name":"Confidence distribution","score":0.6449893116950989},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.6220336556434631},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.6215823888778687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5439034700393677},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4725194573402405},{"id":"https://openalex.org/keywords/credible-interval","display_name":"Credible interval","score":0.45260727405548096}],"concepts":[{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.8372117280960083},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.7617438435554504},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7616486549377441},{"id":"https://openalex.org/C42468098","wikidata":"https://www.wikidata.org/wiki/Q5009921","display_name":"CDF-based nonparametric confidence interval","level":3,"score":0.7143356204032898},{"id":"https://openalex.org/C66520545","wikidata":"https://www.wikidata.org/wiki/Q7353538","display_name":"Robust confidence intervals","level":3,"score":0.6853572726249695},{"id":"https://openalex.org/C13662513","wikidata":"https://www.wikidata.org/wiki/Q5160087","display_name":"Confidence distribution","level":3,"score":0.6449893116950989},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.6220336556434631},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.6215823888778687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5439034700393677},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4725194573402405},{"id":"https://openalex.org/C121117317","wikidata":"https://www.wikidata.org/wiki/Q4439221","display_name":"Credible interval","level":3,"score":0.45260727405548096}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3387168.3387253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3387168.3387253","pdf_url":null,"source":{"id":"https://openalex.org/S4306523820","display_name":"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1506664725","https://openalex.org/W1989613136","https://openalex.org/W1993241069","https://openalex.org/W1995673551","https://openalex.org/W1995945562","https://openalex.org/W1996399172","https://openalex.org/W2000622480","https://openalex.org/W2012382754","https://openalex.org/W2013334117","https://openalex.org/W2019044051","https://openalex.org/W2028045674","https://openalex.org/W2045197273","https://openalex.org/W2057025327","https://openalex.org/W2061303007","https://openalex.org/W2078593836","https://openalex.org/W2080015798","https://openalex.org/W2084872827","https://openalex.org/W2109533003","https://openalex.org/W2112082363","https://openalex.org/W2117814571","https://openalex.org/W2123033778","https://openalex.org/W2157621532","https://openalex.org/W2517589454","https://openalex.org/W2896727355","https://openalex.org/W3106889297","https://openalex.org/W4235618618","https://openalex.org/W4238284345","https://openalex.org/W4249847358","https://openalex.org/W6676380867"],"related_works":["https://openalex.org/W2183054518","https://openalex.org/W2162631808","https://openalex.org/W4382516221","https://openalex.org/W2160968851","https://openalex.org/W2032077494","https://openalex.org/W2092598042","https://openalex.org/W4225113063","https://openalex.org/W913292429","https://openalex.org/W2123327042","https://openalex.org/W4221078923"],"abstract_inverted_index":{"The":[0,40,53,82],"aim":[1],"of":[2,15,17,23,61,78,85],"this":[3,126],"paper":[4],"is":[5],"to":[6,72,106,120],"propose":[7],"the":[8,21,24,29,36,44,58,62,65,73,90,96,101,109],"new":[9],"confidence":[10,26,32,75,86,98,116],"intervals":[11,87,117],"for":[12],"single":[13],"coefficient":[14],"variation":[16],"Weibull":[18],"distributions,":[19],"using":[20],"concept":[22],"generalized":[25,31],"interval":[27,33],"(GCI),":[28],"fiducial":[30],"(FGCI),":[34],"and":[35,43,64],"bootstrap":[37,91],"percentile":[38,92],"method.":[39],"coverage":[41,59,83],"probabilities":[42,60,84],"expected":[45,102],"lengths":[46],"were":[47,67,80,94,118],"evaluated":[48],"via":[49],"Monte":[50],"Carlo":[51],"simulation.":[52],"simulation":[54],"results":[55],"showed":[56],"that":[57],"GCIs":[63],"FGCIs":[66],"greater":[68],"than":[69],"or":[70],"close":[71],"nominal":[74,97],"level.":[76,99],"Both":[77],"them":[79],"recommended.":[81],"based":[88],"on":[89],"method":[93],"under":[95],"Regarding":[100],"lengths,":[103],"they":[104],"tended":[105],"decrease":[107],"when":[108],"sample":[110],"size":[111],"was":[112],"increased.":[113],"All":[114],"proposed":[115],"applied":[119],"some":[121],"real":[122],"world":[123],"data":[124],"in":[125],"study.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}