{"title":"利用本福德概率定律检测社会经济数据库中的异常","authors":"Timjerdine Said, Kaicer Mohammed","doi":"10.1109/ICOA49421.2020.9094466","DOIUrl":null,"url":null,"abstract":"We have applied Benford's Law to a variety of data collected from the official statistics and reports of three organisations: Bank Al Maghreb, Casablanca Stock Exchange, and Haut Commissariat aux plans. We use two statistics tests in order to check wether thoses data obey to Benford's Law or not.","PeriodicalId":253361,"journal":{"name":"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Detection of anomaly in socio-economic databases, by Benford probability law\",\"authors\":\"Timjerdine Said, Kaicer Mohammed\",\"doi\":\"10.1109/ICOA49421.2020.9094466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have applied Benford's Law to a variety of data collected from the official statistics and reports of three organisations: Bank Al Maghreb, Casablanca Stock Exchange, and Haut Commissariat aux plans. We use two statistics tests in order to check wether thoses data obey to Benford's Law or not.\",\"PeriodicalId\":253361,\"journal\":{\"name\":\"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOA49421.2020.9094466\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA49421.2020.9094466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
我们将本福德定律应用于从马格里布银行(Bank Al Maghreb)、卡萨布兰卡证券交易所(Casablanca Stock Exchange)和法国计划委员会(Haut commissariariaux plans)这三个组织的官方统计数据和报告中收集的各种数据。为了检验这些数据是否符合本福德定律，我们使用了两个统计检验。
Detection of anomaly in socio-economic databases, by Benford probability law
We have applied Benford's Law to a variety of data collected from the official statistics and reports of three organisations: Bank Al Maghreb, Casablanca Stock Exchange, and Haut Commissariat aux plans. We use two statistics tests in order to check wether thoses data obey to Benford's Law or not.
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