{"title":"学习经典分解:时间序列分析方法教程","authors":"Marco Aurélio Carino Bouzada","doi":"10.21714/2236-02632012V2N1TAC14","DOIUrl":null,"url":null,"abstract":"This work presents a tutorial to teach a quantitative methodology for forecasting known as Classical Decomposition, used in business to predict the future behavior of time series with different explicative components. A brief Literature Review was developed in relation to the already known and widespread theoretical aspects of the methodology. Then, the tutorial itself is presented which is composed of a text (in its entirety) and a spreadsheet (with screens and graphics for illustration). The tutorial can be used by students, researchers and managers who need to learn Classical Decomposition and can achieve the midpoint between a purely theoretical approach and a very technical guide for implementation of the method. Through its format, this study aims to encourage students to actively participate in the learning process.","PeriodicalId":49119,"journal":{"name":"Theory and Applications of Categories","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2012-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Aprendendo Decomposição Clássica: Tutorial para um Método de Análise de Séries Temporais\",\"authors\":\"Marco Aurélio Carino Bouzada\",\"doi\":\"10.21714/2236-02632012V2N1TAC14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a tutorial to teach a quantitative methodology for forecasting known as Classical Decomposition, used in business to predict the future behavior of time series with different explicative components. A brief Literature Review was developed in relation to the already known and widespread theoretical aspects of the methodology. Then, the tutorial itself is presented which is composed of a text (in its entirety) and a spreadsheet (with screens and graphics for illustration). The tutorial can be used by students, researchers and managers who need to learn Classical Decomposition and can achieve the midpoint between a purely theoretical approach and a very technical guide for implementation of the method. Through its format, this study aims to encourage students to actively participate in the learning process.\",\"PeriodicalId\":49119,\"journal\":{\"name\":\"Theory and Applications of Categories\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2012-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theory and Applications of Categories\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.21714/2236-02632012V2N1TAC14\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory and Applications of Categories","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.21714/2236-02632012V2N1TAC14","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS","Score":null,"Total":0}
Aprendendo Decomposição Clássica: Tutorial para um Método de Análise de Séries Temporais
This work presents a tutorial to teach a quantitative methodology for forecasting known as Classical Decomposition, used in business to predict the future behavior of time series with different explicative components. A brief Literature Review was developed in relation to the already known and widespread theoretical aspects of the methodology. Then, the tutorial itself is presented which is composed of a text (in its entirety) and a spreadsheet (with screens and graphics for illustration). The tutorial can be used by students, researchers and managers who need to learn Classical Decomposition and can achieve the midpoint between a purely theoretical approach and a very technical guide for implementation of the method. Through its format, this study aims to encourage students to actively participate in the learning process.
期刊介绍:
The journal Theory and Applications of Categories will disseminate articles that significantly advance the study of categorical algebra or methods, or that make significant new contributions to mathematical science using categorical methods. The scope of the journal includes: all areas of pure category theory, including higher dimensional categories; applications of category theory to algebra, geometry and topology and other areas of mathematics; applications of category theory to computer science, physics and other mathematical sciences; contributions to scientific knowledge that make use of categorical methods.