In:
Revista Brasileira de Meteorologia, FapUNIFESP (SciELO), Vol. 30, No. 3 ( 2015-09), p. 319-326
Abstract:
Relative humidity (RH) monitoring is of great importance for the management of water resources, agricultural field, climatic studies, as well as for public health management. The objective of this paper is to analyze, model, and forecast the monthly RH at Brasília city, Distrito Federal, Brazil. RH is given in percentage terms, i.e., assume continuous values in the interval (0,1). In this situation the traditional time series models, like the ARIMA class, are not suitable. Thus, the use of beta autoregressive moving average models (βARMA) is required. This model proposed by Rocha and Cribari-Neto was developed for rates and proportions variable with beta distribution. For this study, the βARMA model was implemented in R language. Its application to RH data was adequate, capturing the behavior of the RH series and producing accurate predictions.
Type of Medium:
Online Resource
ISSN:
0102-7786
DOI:
10.1590/0102-778620130645
Language:
Unknown
Publisher:
FapUNIFESP (SciELO)
Publication Date:
2015
detail.hit.zdb_id:
2401291-9
Bookmarklink