{"title":"[[台湾出生、婚姻和人口增长率的ARIMA模型]]。","authors":"B Wu, M Liaw","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>\"In this paper, we will focus on [population growth, birth, and marriage rates in Taiwan] and explore [them] in terms of the time series model. Furthermore, the comparison and analysis will be made utilizing [the] univariate ARIMA model, transfer function model and multivariate ARIMA model accordingly. The seasonal factor will also be considered. Lastly, [projections] will be made on the short term growth rate of these three indexes, and we will also estimate the monthly sum of population of the next two years in Taiwan.\" (SUMMARY IN ENG)</p>","PeriodicalId":84911,"journal":{"name":"In'gu munje nonjip = Journal of population studies","volume":" 14","pages":"109-32"},"PeriodicalIF":0.0000,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[[ARIMA modeling of birth, marriage and population growth rates in Taiwan]].\",\"authors\":\"B Wu, M Liaw\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>\\\"In this paper, we will focus on [population growth, birth, and marriage rates in Taiwan] and explore [them] in terms of the time series model. Furthermore, the comparison and analysis will be made utilizing [the] univariate ARIMA model, transfer function model and multivariate ARIMA model accordingly. The seasonal factor will also be considered. Lastly, [projections] will be made on the short term growth rate of these three indexes, and we will also estimate the monthly sum of population of the next two years in Taiwan.\\\" (SUMMARY IN ENG)</p>\",\"PeriodicalId\":84911,\"journal\":{\"name\":\"In'gu munje nonjip = Journal of population studies\",\"volume\":\" 14\",\"pages\":\"109-32\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"In'gu munje nonjip = Journal of population studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"In'gu munje nonjip = Journal of population studies","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[[ARIMA modeling of birth, marriage and population growth rates in Taiwan]].
"In this paper, we will focus on [population growth, birth, and marriage rates in Taiwan] and explore [them] in terms of the time series model. Furthermore, the comparison and analysis will be made utilizing [the] univariate ARIMA model, transfer function model and multivariate ARIMA model accordingly. The seasonal factor will also be considered. Lastly, [projections] will be made on the short term growth rate of these three indexes, and we will also estimate the monthly sum of population of the next two years in Taiwan." (SUMMARY IN ENG)