24 citations · 78 across the 8 of their papers we have counts for
6 papers · 1 filter
A Matsuoka-Based GARMA Model for Hydrological Forecasting: Theory, Estimation, and Applications
Guilherme Pumi, Danilo Hiroshi Matsuoka, Taiane Schaedler Prass +1
Time series in natural sciences, such as hydrology and climatology, and other environmental applications, often consist of continuous observations constrained to the unit interval…
2-D Rayleigh Autoregressive Moving Average Model for SAR Image Modeling
B. G. Palm, F. M. Bayer, R. J. Cintra
Two-dimensional (2-D) autoregressive moving average (ARMA) models are commonly applied to describe real-world image data, usually assuming Gaussian or symmetric noise. However, rea…
Improved Point Estimation for the Rayleigh Regression Model
B. G. Palm, F. M. Bayer, R. J. Cintra
The Rayleigh regression model was recently proposed for modeling amplitude values of synthetic aperture radar (SAR) image pixels. However, inferences from such model are based on t…
Signal Detection and Inference Based on the Beta Binomial Autoregressive Moving Average Model
B. G. Palm, F. M. Bayer, R. J. Cintra
This paper proposes the beta binomial autoregressive moving average model (BBARMA) for modeling quantized amplitude data and bounded count data. The BBARMA model estimates the cond…
Prediction Intervals in the Beta Autoregressive Moving Average Model
B. G. Palm, F. M. Bayer, R. J. Cintra
In this paper, we propose five prediction intervals for the beta autoregressive moving average model. This model is suitable for modeling and forecasting variables that assume valu…
Rayleigh Regression Model for Ground Type Detection in SAR Imagery
B. G. Palm, F. M. Bayer, R. J. Cintra +2
This letter proposes a regression model for nonnegative signals. The proposed regression estimates the mean of Rayleigh distributed signals by a structure which includes a set of r…