Theoretical and Case Study on Multiple Equal Part Linear Regression

Autor:	Hui-Ling Yang, Wen-Tsao Pan, Xue-ying Chen, Zuchang Zhong, Gang Wang
Rok vydání:	2017
Předmět:	Statistics Linear regression Data analysis Sample (statistics) Regression analysis Extreme value theory Mathematics
Zdroj:	DEStech Transactions on Computer Science and Engineering.
ISSN:	2475-8841
Popis:	This paper is to propose a new concept, which is called the Multiple Equal Part Linear Regression, in which the analysis data are divided into several equal parts and then the linear regression model is built up. This way, we will be able to observe the trend of sample data in each equal part. Difference comparison can be made with the general standard linear regression model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e9c5eaa57c6a3cb8d7a6875796295fe7 https://doi.org/10.12783/dtcse/cmsam2017/16372 Zobrazit plný text záznamu