Suppr超能文献

自回归积分滑动平均(ARIMA)模型在时间序列中的应用指南。

Guidelines for the application of ARIMA models in time series.

作者信息

Jensen L

机构信息

Faculty of Nursing, University of Alberta, Edmonton, Canada.

出版信息

Res Nurs Health. 1990 Dec;13(6):429-35. doi: 10.1002/nur.4770130611.

Abstract

Time series analysis has been suggested as a valuable approach to evaluating the effectiveness of nursing interventions. Time series analysis techniques provide the tools for analyzing unique behavioral fluctuations through time and a framework for predicting future changes in the individual. Because of its newness, time series modeling has not been used widely in nursing research, but it can provide information about processes in nursing practice. Despite the utility of the interrupted time series design, a number of problems frequently arise in view of the practical and inferential difficulties in conducting interrupted time series research. The inherent limitations of time series analysis procedures are discussed in application to research problems.

摘要

时间序列分析已被认为是评估护理干预效果的一种有价值的方法。时间序列分析技术提供了分析随时间变化的独特行为波动的工具以及预测个体未来变化的框架。由于其新颖性,时间序列建模在护理研究中尚未得到广泛应用,但它可以提供有关护理实践过程的信息。尽管间断时间序列设计有其效用,但鉴于进行间断时间序列研究存在实际和推理方面的困难,仍经常出现一些问题。本文将讨论时间序列分析程序在应用于研究问题时的固有局限性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验