{"title":"以离散时间函数的形式构造带度数的可加性幂回归模型","authors":"A. V. Karaulova, M. Bazilevskiy","doi":"10.26731/2658-3704.2022.2(14).1-7","DOIUrl":null,"url":null,"abstract":". The article is devoted to the construction of an additive power regression model with degrees in the form of discrete time functions. An algorithm for its approximate estimation using the least squares method is proposed. The proposed estimation algorithm is demonstrated by the example of statistical data of the gross regional product in the Irkutsk region and current expenditures on basic scientific research for the period 2000-2019.","PeriodicalId":431708,"journal":{"name":"Information Technology and Mathematical Modeling in the Management of Complex Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CONSTRUCTION OF ADDITIVE POWER REGRESSION MODELS WITH DEGREES IN THE FORM OF DISCRETE TIME FUNCTIONS\",\"authors\":\"A. V. Karaulova, M. Bazilevskiy\",\"doi\":\"10.26731/2658-3704.2022.2(14).1-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". The article is devoted to the construction of an additive power regression model with degrees in the form of discrete time functions. An algorithm for its approximate estimation using the least squares method is proposed. The proposed estimation algorithm is demonstrated by the example of statistical data of the gross regional product in the Irkutsk region and current expenditures on basic scientific research for the period 2000-2019.\",\"PeriodicalId\":431708,\"journal\":{\"name\":\"Information Technology and Mathematical Modeling in the Management of Complex Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Technology and Mathematical Modeling in the Management of Complex Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26731/2658-3704.2022.2(14).1-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Technology and Mathematical Modeling in the Management of Complex Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26731/2658-3704.2022.2(14).1-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CONSTRUCTION OF ADDITIVE POWER REGRESSION MODELS WITH DEGREES IN THE FORM OF DISCRETE TIME FUNCTIONS
. The article is devoted to the construction of an additive power regression model with degrees in the form of discrete time functions. An algorithm for its approximate estimation using the least squares method is proposed. The proposed estimation algorithm is demonstrated by the example of statistical data of the gross regional product in the Irkutsk region and current expenditures on basic scientific research for the period 2000-2019.