ARMA process for speckled data
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Publication:3389661
DOI10.1080/00949655.2021.1922688OpenAlexW3162204087MaRDI QIDQ3389661
Pedro M. Almeida-Junior, Abraão David Costa do Nascimento
Publication date: 23 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.1922688
Linear inference, regression (62Jxx) Statistics (62-XX) Applications of statistics (62Pxx) Statistical distribution theory (62Exx)
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Uses Software
Cites Work
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- Spatial ARMA models and its applications to image filtering
- Beta autoregressive moving average models
- Dealing with monotone likelihood in a model for speckled data
- A Bayesian analysis of the minimum AIC procedure
- Prediction and classification of non-stationary categorical time series
- M-estimators of roughness and scale for \({\mathcal G}_A^0\)-modelled SAR imagery
- The gamma generalized normal distribution: a descriptor of SAR imagery
- On the Lambert \(w\) function
- Improved estimation of clutter properties in speckled imagery.
- The compound truncated Poisson Cauchy model: a descriptor for multimodal data
- Improving estimation in speckled imagery
- Analysis of minute features in speckled imagery with maximum likelihood estimation
- Statistical Analysis of Noise in MRI
- Generalized Autoregressive Moving Average Models
- Introduction to Time Series and Forecasting
- Time series model for texture synthesis
- Information criteria in classification: new divergence-based classifiers
- M-estimators with asymmetric influence functions: the distribution case
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