Evolução dos óbitos por neoplasias malignas de pele nas regiões sul e sudeste do brasil: aplicação da metodologia de box-jenkins
DOI:
https://doi.org/10.5902/2179460X40191Keywords:
Neoplasias malignas de pele. Séries temporais. Metodologia de Box-Jenkins.Abstract
Nos conjuntos de dados cujas observações encontram-se ordenadas em instantes de tempo, indica-se a análise de séries temporais. Técnica que permite identificar padrões de sazonalidade, tendência, ciclos e mudanças de nível, sendo possível gerar modelos explicativos capazes de descrever o comportamento da sequência de observações, obtendo previsões acerca da série analisada. Esta pesquisa aplicou a metodologia de Box- Jenkins nas séries de óbitos por neoplasias malignas de pele entre o período de 1996 e 2014, ocorridos nas regiões Sul e Sudeste do Brasil, afim de identificar padrões, gerar modelos explicativos e obter previsões. Evidenciaram-se algumas características como presença de tendência crescente, ausência de sazonalidade e comportamento não estacionário nas séries de óbitos. A metodologia de Box-Jenkins demonstrou boa qualidade de predição para as séries da região Sul e Sudeste as quais apresentaram, os modelos ARIMA (4,1,0) com constante e ARIMA (0,1,1) com constante como modelos melhores ajustados aos dados. Concluiu-se que os óbitos por neoplasias malignas de pele nas regiões Sul foram explicados apenas por componentes AR e a região Sudeste por componentes MA, ambas com componente de integração.
Downloads
References
AKHTAR S; ROZI S. An autoregressive integrated moving average model for short-term prediction of hepatitis C virus seropositivity among male volunteer blood donors in Karachi, Pakistan. World Journal of Gastroenterology: WJG, 2009, v. 15, n. 13, p. 1607.
BOX GEP; JENKINS GM. Time series analysis: forecasting and control. San Francisco: Ed: Holden-Day, 575 p., 1970.
BOX GEP; JENKINS GM; REINSEL GC. Time series analysis: forecasting and control, 3º ed. Prentice Hall: New Jersey, 589 p., 1994.
EARNEST A et al. Using autoregressive integrated moving average (ARIMA) models to predict and monitor the
number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore. BMC Health Services Research, 2005, v.5, n.1, p.36.
JARQUE CM; BERA AK. A test for normality of observations and regression residuals. International Statistical Review, Woodbury, 1987, v.55, p. 163-172.
LJUNG G; BOX GEP. On a measure of lack off it in time series models. Biometrika, 1978, v. 65, p. 297-303.
LIU Q et al. Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model. BMC infectious diseases, 2011, v. 11, n. 1, p. 218.
MADDALA GS. Introduction to Econometrics. 3.ed. New York: John Wiley & Sons, 664 p., 2001.
MAKRIDAKIS S; WHEELWRIGHT SC; HYNDMAN RJ. Forecasting: Methods and Applications. 3rd ed. Ed. Wiley & Sons, 642 p., 1998.
MORETTIN PA; TOLOI CMC. Análise de Séries Temporais. São Paulo: Blücher, 535 p., 2004.
ORGANIZAÇÃO MUNDIAL DA SAÚDE. CID-10: Classificação Estatística Internacional de Doenças com disquete, 1994, Vol. 1. Edusp.
SOUZA RC; CAMARGO ME. Análise de Séries Temporais: Os Modelos ARIMA, Ijuí: SEDIGRAF. 242 p., 1996.
THEIL H. Applied economic forecasting. Amsterdam: North-Holland, 1966.
WHITTLE P. Hypotesis testing in the time series analysis. Thesis, Almqvist and Wiksell, Uppsala, Uppsala University, 1951.
ZHANG X. et al. Tendência preditiva das caries da primeira infância na China continental: uma abordagem combinada de modelagem meta-analítica e matemática baseada em pesquisas epidemiológicas. Scientific Reports , 2017, v. 7, n. 1, p. 6507.
Published
How to Cite
Issue
Section
License
To access the DECLARATION AND TRANSFER OF COPYRIGHT AUTHOR’S DECLARATION AND COPYRIGHT LICENSE click here.
Ethical Guidelines for Journal Publication
The Ciência e Natura journal is committed to ensuring ethics in publication and quality of articles.
Conformance to standards of ethical behavior is therefore expected of all parties involved: Authors, Editors, Reviewers, and the Publisher.
In particular,
Authors: Authors should present an objective discussion of the significance of research work as well as sufficient detail and references to permit others to replicate the experiments. Fraudulent or knowingly inaccurate statements constitute unethical behavior and are unacceptable. Review Articles should also be objective, comprehensive, and accurate accounts of the state of the art. The Authors should ensure that their work is entirely original works, and if the work and/or words of others have been used, this has been appropriately acknowledged. Plagiarism in all its forms constitutes unethical publishing behavior and is unacceptable. Submitting the same manuscript to more than one journal concurrently constitutes unethical publishing behavior and is unacceptable. Authors should not submit articles describing essentially the same research to more than one journal. The corresponding Author should ensure that there is a full consensus of all Co-authors in approving the final version of the paper and its submission for publication.
Editors: Editors should evaluate manuscripts exclusively on the basis of their academic merit. An Editor must not use unpublished information in the editor's own research without the express written consent of the Author. Editors should take reasonable responsive measures when ethical complaints have been presented concerning a submitted manuscript or published paper.
Reviewers: Any manuscripts received for review must be treated as confidential documents. Privileged information or ideas obtained through peer review must be kept confidential and not used for personal advantage. Reviewers should be conducted objectively, and observations should be formulated clearly with supporting arguments, so that Authors can use them for improving the paper. Any selected Reviewer who feels unqualified to review the research reported in a manuscript or knows that its prompt review will be impossible should notify the Editor and excuse himself from the review process. Reviewers should not consider manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relationships or connections with any of the authors, companies, or institutions connected to the papers.