Literature DB >> 2270308

Guidelines for the application of ARIMA models in time series.

L Jensen1.   

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.

Mesh:

Year:  1990        PMID: 2270308     DOI: 10.1002/nur.4770130611

Source DB:  PubMed          Journal:  Res Nurs Health        ISSN: 0160-6891            Impact factor:   2.228


  1 in total

1.  Forecasting COVID-19 Case Trends Using SARIMA Models during the Third Wave of COVID-19 in Malaysia.

Authors:  Cia Vei Tan; Sarbhan Singh; Chee Herng Lai; Ahmed Syahmi Syafiq Md Zamri; Sarat Chandra Dass; Tahir Bin Aris; Hishamshah Mohd Ibrahim; Balvinder Singh Gill
Journal:  Int J Environ Res Public Health       Date:  2022-01-28       Impact factor: 3.390

  1 in total

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