Leandro da Silva Pereira, L. Chaves, Devanil Jaques de Souza
{"title":"关于预测误差","authors":"Leandro da Silva Pereira, L. Chaves, Devanil Jaques de Souza","doi":"10.28951/rbb.v37i4.410","DOIUrl":null,"url":null,"abstract":"The theory of model prediction error is presented in details from the point of view of geometric constructions. It is expected that this approach can be a possible pedagogical tool in the treatment of the subject. Although the focus is essentially conceptual, all algebraic passages is developed in order to facilitate a greater understanding for the reader. Two elementary examples are presented.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"ON THE PREDICTION ERROR\",\"authors\":\"Leandro da Silva Pereira, L. Chaves, Devanil Jaques de Souza\",\"doi\":\"10.28951/rbb.v37i4.410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The theory of model prediction error is presented in details from the point of view of geometric constructions. It is expected that this approach can be a possible pedagogical tool in the treatment of the subject. Although the focus is essentially conceptual, all algebraic passages is developed in order to facilitate a greater understanding for the reader. Two elementary examples are presented.\",\"PeriodicalId\":36293,\"journal\":{\"name\":\"Revista Brasileira de Biometria\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Brasileira de Biometria\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.28951/rbb.v37i4.410\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Biometria","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28951/rbb.v37i4.410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
The theory of model prediction error is presented in details from the point of view of geometric constructions. It is expected that this approach can be a possible pedagogical tool in the treatment of the subject. Although the focus is essentially conceptual, all algebraic passages is developed in order to facilitate a greater understanding for the reader. Two elementary examples are presented.
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