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| Di Lazzaro P, Atkinson AC, Iacomussi P, et al. (2020) Statistical and Proactive Analysis of an Inter-Laboratory Comparison: The Radiocarbon Dating of the Shroud of Turin. Entropy (Basel, Switzerland). 22 |
| Riani M, Atkinson AC, Corbellini A, et al. (2020) Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis. Entropy (Basel, Switzerland). 22 |
| Atkinson AC, Riani M, Corbellini A. (2020) The analysis of transformations for profit-and-loss data Journal of the Royal Statistical Society Series C-Applied Statistics. 69: 251-275 |
| Duarte BPM, Atkinson AC, Granjo JFO, et al. (2019) Calculating D-optimal designs for compartmental models with a Michaelis–Menten elimination rate Journal of Process Control. 83: 88-101 |
| Duarte BPM, Atkinson AC. (2019) Optimal designs of experiments for non-isothermal kinetic rates: analysis of different strategies Optimization and Engineering. 20: 725-748 |
| Riani M, Corbellini A, Atkinson AC. (2018) The use of prior information in very robust regression for fraud detection International Statistical Review. 86: 205-218 |
| Cerioli A, Riani M, Atkinson AC, et al. (2018) The power of monitoring: how to make the most of a contaminated multivariate sample Statistical Methods and Applications. 27: 559-587 |
| Atkinson AC, Biswas A. (2017) Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses Computational Statistics & Data Analysis. 113: 297-310 |
| Atkinson AC, Corbellini A, Riani M. (2017) Robust Bayesian regression with the forward search: theory and data analysis Test. 26: 869-886 |
| Atkinson AC, Riani M, Torti F. (2016) Robust methods for heteroskedastic regression Computational Statistics & Data Analysis. 104: 209-222 |