{"title":"数据预测的统计方法","authors":"J. Napieralski","doi":"10.1109/MEMSTECH.2016.7507532","DOIUrl":null,"url":null,"abstract":"The main goal of the work presented in this paper was to develop a set of algorithms which allows to predict what will be the probability ratio of acquisition of the items form the given database. To fulfill this goal, the appropriate statistical methods were developed, mainly using R programming language. In order to apply the specific statistical methods, the appropriate database preprocessing was implemented.","PeriodicalId":102420,"journal":{"name":"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical methods for data prediction\",\"authors\":\"J. Napieralski\",\"doi\":\"10.1109/MEMSTECH.2016.7507532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main goal of the work presented in this paper was to develop a set of algorithms which allows to predict what will be the probability ratio of acquisition of the items form the given database. To fulfill this goal, the appropriate statistical methods were developed, mainly using R programming language. In order to apply the specific statistical methods, the appropriate database preprocessing was implemented.\",\"PeriodicalId\":102420,\"journal\":{\"name\":\"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEMSTECH.2016.7507532\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMSTECH.2016.7507532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The main goal of the work presented in this paper was to develop a set of algorithms which allows to predict what will be the probability ratio of acquisition of the items form the given database. To fulfill this goal, the appropriate statistical methods were developed, mainly using R programming language. In order to apply the specific statistical methods, the appropriate database preprocessing was implemented.