印度人预期寿命的建模和预测:一种系统的方法

Q4 Mathematics

Communications in Statistics Case Studies Data Analysis and Applications Pub Date : 2021-01-12 DOI:10.1080/23737484.2020.1869630

Abhishek Singh, S. Hasija

{"title":"印度人预期寿命的建模和预测:一种系统的方法","authors":"Abhishek Singh, S. Hasija","doi":"10.1080/23737484.2020.1869630","DOIUrl":null,"url":null,"abstract":"Abstract In this study, the autoregressive integrated moving average models were used to fit yearly life expectancy data collected from the official website of the World Bank. The results show a steady growth of life expectancy at birth for males, females, and the total population during 2017–2030. Moreover, this study also attempted to examine the risk factors associated with life expectancy at birth in India. The results of the multiple linear regression showed that the employment rate, school enrollment rate, and healthcare expenditure were significant risk factors associated with life expectancy at birth for males, females, and the total population.","PeriodicalId":36561,"journal":{"name":"Communications in Statistics Case Studies Data Analysis and Applications","volume":"82 1","pages":"200 - 214"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling and forecasting life expectancy in India: A systematic approach\",\"authors\":\"Abhishek Singh, S. Hasija\",\"doi\":\"10.1080/23737484.2020.1869630\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this study, the autoregressive integrated moving average models were used to fit yearly life expectancy data collected from the official website of the World Bank. The results show a steady growth of life expectancy at birth for males, females, and the total population during 2017–2030. Moreover, this study also attempted to examine the risk factors associated with life expectancy at birth in India. The results of the multiple linear regression showed that the employment rate, school enrollment rate, and healthcare expenditure were significant risk factors associated with life expectancy at birth for males, females, and the total population.\",\"PeriodicalId\":36561,\"journal\":{\"name\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"volume\":\"82 1\",\"pages\":\"200 - 214\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23737484.2020.1869630\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Statistics Case Studies Data Analysis and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23737484.2020.1869630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}

引用次数: 1

摘要

摘要本研究采用自回归综合移动平均模型对世界银行官方网站收集的年预期寿命数据进行拟合。结果显示，在2017-2030年期间，男性、女性和总人口的出生时预期寿命都在稳步增长。此外，本研究还试图检查与印度出生时预期寿命相关的风险因素。多元线性回归结果显示，就业率、入学率和医疗费用是影响男性、女性和总人口出生时预期寿命的显著危险因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Modeling and forecasting life expectancy in India: A systematic approach

Abstract In this study, the autoregressive integrated moving average models were used to fit yearly life expectancy data collected from the official website of the World Bank. The results show a steady growth of life expectancy at birth for males, females, and the total population during 2017–2030. Moreover, this study also attempted to examine the risk factors associated with life expectancy at birth in India. The results of the multiple linear regression showed that the employment rate, school enrollment rate, and healthcare expenditure were significant risk factors associated with life expectancy at birth for males, females, and the total population.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Communications in Statistics Case Studies Data Analysis and Applications Mathematics-Analysis

CiteScore

1.00

自引率

0.00%

发文量