{"id":"https://openalex.org/W2972899016","doi":"https://doi.org/10.1145/3343485.3343501","title":"Bayes Reliability Analysis of Parameters of Generalized Pareto Distribution under Different Loss Functions","display_name":"Bayes Reliability Analysis of Parameters of Generalized Pareto Distribution under Different Loss Functions","publication_year":2019,"publication_date":"2019-07-08","ids":{"openalex":"https://openalex.org/W2972899016","doi":"https://doi.org/10.1145/3343485.3343501","mag":"2972899016"},"language":"en","primary_location":{"id":"doi:10.1145/3343485.3343501","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343485.3343501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 2nd International Conference on Mathematics and Statistics","raw_type":"proceedings-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/A5101699765","display_name":"Ying Song","orcid":"https://orcid.org/0000-0001-9791-1879"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Ying","raw_affiliation_strings":["School of Economics and Management, Nanchang Hangkong University, Jiangxi (China)"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Nanchang Hangkong University, Jiangxi (China)","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":null,"display_name":"Cao Yuanping","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107865","display_name":"Wuzhou University","ror":"https://ror.org/01vv37n49","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cao Yuanping","raw_affiliation_strings":["School of Business, Wuzhou University, Guangxi (China)"],"affiliations":[{"raw_affiliation_string":"School of Business, Wuzhou University, Guangxi (China)","institution_ids":["https://openalex.org/I4210107865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101699765"],"corresponding_institution_ids":["https://openalex.org/I927504317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13113453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9975000023841858,"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":0.9975000023841858,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9900000095367432,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9887999892234802,"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/estimator","display_name":"Estimator","score":0.6564578413963318},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5988546013832092},{"id":"https://openalex.org/keywords/pareto-distribution","display_name":"Pareto distribution","score":0.5914130806922913},{"id":"https://openalex.org/keywords/lomax-distribution","display_name":"Lomax distribution","score":0.5659124255180359},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5036770701408386},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.46276918053627014},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.458586186170578},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4557894468307495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.445239782333374},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.4428560435771942},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4340084195137024},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41134732961654663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36209070682525635},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35717570781707764},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.31048816442489624},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.08425605297088623}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6564578413963318},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5988546013832092},{"id":"https://openalex.org/C190373308","wikidata":"https://www.wikidata.org/wiki/Q837683","display_name":"Pareto distribution","level":2,"score":0.5914130806922913},{"id":"https://openalex.org/C18249693","wikidata":"https://www.wikidata.org/wiki/Q2517984","display_name":"Lomax distribution","level":3,"score":0.5659124255180359},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5036770701408386},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.46276918053627014},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.458586186170578},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4557894468307495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.445239782333374},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.4428560435771942},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4340084195137024},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41134732961654663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36209070682525635},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35717570781707764},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.31048816442489624},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.08425605297088623},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343485.3343501","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343485.3343501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 2nd International Conference on Mathematics and Statistics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1520891723","https://openalex.org/W1964986228","https://openalex.org/W1965738095","https://openalex.org/W1973873060","https://openalex.org/W2014109964","https://openalex.org/W2020875674","https://openalex.org/W2039193851","https://openalex.org/W2061885628","https://openalex.org/W2083016770","https://openalex.org/W2084738107","https://openalex.org/W2115649987","https://openalex.org/W2135200607","https://openalex.org/W2194648352","https://openalex.org/W2222524199","https://openalex.org/W2336354642","https://openalex.org/W2376595332","https://openalex.org/W2480521826","https://openalex.org/W2562695641","https://openalex.org/W2581730455","https://openalex.org/W2749836565","https://openalex.org/W2750951257","https://openalex.org/W3100411252","https://openalex.org/W3125173206","https://openalex.org/W4300869613"],"related_works":["https://openalex.org/W2354628418","https://openalex.org/W2359168527","https://openalex.org/W2375272037","https://openalex.org/W4293214354","https://openalex.org/W2735046191","https://openalex.org/W2380910190","https://openalex.org/W2348642867","https://openalex.org/W2353450101","https://openalex.org/W2378903080","https://openalex.org/W2062270397"],"abstract_inverted_index":{"The":[0,16,32],"generalized":[1,48],"Pareto":[2],"distribution":[3,50],"is":[4,37,57,84],"extensively":[5],"used":[6,85],"in":[7,95],"the":[8,40,44,47,53,79,88],"field":[9],"of":[10,27,34,43,46,90],"finance,":[11],"insurance":[12],"and":[13,70,78],"natural":[14],"disasters.":[15],"statistical":[17],"inference":[18],"for":[19],"its":[20,30],"parameter":[21,45,54],"has":[22],"been":[23],"a":[24],"hot":[25],"spot":[26],"researches":[28],"on":[29,52],"parameters.":[31],"aim":[33],"this":[35,96],"paper":[36],"to":[38,86],"study":[39],"Bayes":[41,74,92],"estimation":[42],"Parato":[49],"based":[51],"prior,":[55],"which":[56],"Quasi":[58],"prior":[59],"distribution.":[60],"Under":[61],"three":[62],"loss":[63,69,72],"functions,":[64],"squared":[65],"error":[66],"loss,":[67],"LINEX":[68],"entropy":[71],"function,":[73],"estimators":[75,93],"are":[76],"obtained,":[77],"Monte":[80],"Carlo":[81],"simulation":[82],"experiment":[83],"observe":[87],"performance":[89],"various":[91],"obtained":[94],"paper.":[97]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
