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20122024
most citedHypothesis Testing in Speckled Data with Stochastic Distances

109 citations · 544 across the 18 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

stat.AP2022★ 3 cited

Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers

B. G. Palm, F. M. Bayer, R. Machado +3

The presence of outliers (anomalous values) in synthetic aperture radar (SAR) data and the misspecification in statistical image models may result in inaccurate inferences. To avoi…

stat.ME2022★ 5 cited

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…

stat.ME2022★ 9 cited

The Gamma Generalized Normal Distribution: A Descriptor of SAR Imagery

G. M. Cordeiro, R. J. Cintra, L. C. Rêgo +1

We propose a new four-parameter distribution for modeling synthetic aperture radar (SAR) imagery named the gamma generalized normal (GGN) by combining the gamma and generalized nor…

math.ST2022★ 29 cited

Beta Generalized Normal Distribution with an Application for SAR Image Processing

R. J. Cintra, L. C. Rêgo, G. M. Cordeiro +1

We introduce the beta generalized normal distribution which is obtained by compounding the beta and generalized normal [Nadarajah, S., A generalized normal distribution, \emph{Jour…

math.ST2022★ 18 cited

On Some Properties of the Beta Inverse Rayleigh Distribution

J. Leão, H. Saulo, M. Bourguignon +3

We study with some details a lifetime model of the class of beta generalized models, called the beta inverse Rayleigh distribution, which is a special case of the Beta Fréchet dist…

stat.ME2022★ 33 cited

The McDonald Normal Distribution

G. M. Cordeiro, R. J. Cintra, L. C. Rêgo

A five-parameter distribution called the McDonald normal distribution is defined and studied. The new distribution contains, as special cases, several important distributions discu…