Author:
Vasconcellos Klaus L. P.,Frery Alejandro C.,Silva Luciano B.
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Reference22 articles.
1. Bustos, O. H., Lucini, M. M. & Frery, A. C. (2002), ‘M-estimators of roughness and scale for GAO-modelled SAR imagery’,EURASIP Journal on Applied Signal Processing
2002(1), 105–114.
2. Cordeiro, G. & Vasconcellos, K. (1999), ‘Second-order biases of the maximum likelihood estimates in von-Mises regression models’,Australian and New Zealand Journal of Statistics
41, 901–910.
3. Cox, D. R. & Snell, E. J. (1968), ‘A general definition of residuals (with discussion)’,Journal of the Royal Statistical Society
B30, 248–275.
4. Cribari-Neto, F. & Vasconcellos, K. L. P. (2002), ‘Nearly unbiased maximum likelihood estimation for the beta distribution’,Journal of Statistical Computing and Simulation
72(2), 107–118.
5. Cribari-Neto, F., Frery, A. C. & Silva, M. F. (2002), ‘Improved estimation of clutter properties in speckled imagery’,Computational Statistics and Data Analysis
40(4), 801–824.
Cited by
35 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Regression model for speckled data with extreme variability;ISPRS Journal of Photogrammetry and Remote Sensing;2024-07
2. Identifying departures from the fully developed speckle hypothesis in intensity SAR data with non-parametric estimation of the entropy;2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS);2024-04-08
3. Bibliography;SAR Image Analysis – A Computational Statistics Approach;2022-07-19
4. An Improved Minimum-Distance Texture Estimator for Speckled Data Under the $$\mathscr {G}^0$$ Model;Journal of Mathematical Imaging and Vision;2022-04-12
5. ARMA process for speckled data;Journal of Statistical Computation and Simulation;2021-05-07