Forecasting Brazilian mortality rates due to occupational accidents using autoregressive moving average approaches
Year of publication: |
2021
|
---|---|
Authors: | Melchior, Cristiane ; Zanini, Roselaine Ruviaro ; Guerra, Renata Rojas ; Rockenbach, Dinei A. |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 37.2021, 2, p. 825-837
|
Subject: | ARIMA | βARMA | Fatal work-related accidents | Forecasting | KARMA | Time series | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Sterblichkeit | Mortality | Brasilien | Brazil | ARMA-Modell | ARMA model | Verkehrsunfall | Traffic accident | Unfall | Accident |
-
Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model
Zhang, Gaojun, (2017)
-
Modelling and forecasting international interest rate spreads : UK, Germany, Japan and the USA
Gough, Orla, (2014)
-
Trends in the CZK development and AR(I)MA forecasting
Melcher, Ota, (2015)
- More ...
-
de Oliveira Sousa, Saymon Ricardo, (2020)
-
Sousa, Saymon Ricardo de Oliveira, (2020)
-
The relationship between socioeconomic development, renewable energies and the innovative process
Sousa, Saymon Ricardo de Oliveira, (2022)
- More ...