Atkinson, Anthony

Number of items: 72.
None
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C. (2025). Model robust designs for dose-response models. Biometrics, 81(3). https://doi.org/10.1093/biomtc/ujaf112
  • Cerioli, Andrea, Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2018). Rejoinder to the discussion of “The power of monitoring how to make the most of a contaminated multivariate sample”. Statistical Methods and Applications, 27(4), 661-666. https://doi.org/10.1007/s10260-018-00436-8
  • Atkinson, Anthony C., Bogacka, Barbara (2014). Optimum designs for the equality of parameters in enzyme inhibition kinetic models. Journal of Statistical Planning and Inference, 144(1), 47-54. https://doi.org/10.1016/j.jspi.2012.07.011
  • Riani, Marco, Cerioli, Andrea, Atkinson, Anthony C., Perrotta, Domenico (2014). Monitoring robust regression. Electronic Journal of Statistics, 8, 646-677. https://doi.org/10.1214/14-EJS897
  • Atkinson, Anthony C. (2014). Selecting a biased-coin design. Statistical Science, 29(1), 144-163. https://doi.org/10.1214/13-STS449
  • Riani, Marco, Atkinson, Anthony C., Fanti, Giulio, Crosilla, Fabio (2013). Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin. Statistics and Computing, 23(4), 551-561. https://doi.org/10.1007/s11222-012-9329-5
  • Atkinson, A. C., Fedorov, Valerii V., Herzberg, Agnes M., Zhang, Rongmei (2012). Elemental information matrices and optimal experimental design for generalized regression models. Journal of Statistical Planning and Inference, 144(1), 47-54. https://doi.org/10.1016/j.jspi.2012.09.012
  • Torti, Francesca, Perrotta, Domenico, Atkinson, Anthony C., Riani, Marco (2012). Benchmark testing of algorithms for very robust regression: FS, LMS and LTS. Computational Statistics and Data Analysis, 56(8), 2501-2512. https://doi.org/10.1016/j.csda.2012.02.003
  • Atkinson, Anthony C. (2012). Bias and loss: the two sides of a biased coin. Statistics in Medicine, Online, https://doi.org/10.1002/sim.5416
  • Atkinson, Anthony C. (2012). Optimum experimental designs for choosing between competitive and non competitive models of enzyme inhibition. Communications in Statistics - Theory and Methods, 41(13-14), 2283-2296. https://doi.org/10.1080/03610926.2011.593720
  • Ramezani, Majid, Bashiri, Mahdi, Atkinson, Anthony C. (2011). A goal programming-TOPSIS approach to multiple response optimization using the concepts of non-dominated solutions and prediction intervals. Expert Systems With Applications, 38(8), 9557-9563. https://doi.org/10.1016/j.eswa.2011.01.139
  • Bogacka, Barbara, Patan, Maciej, Johnson, Patrick, J, Youdim, K, Atkinson, Anthony C. (2011). Optimum design of experiments for enzyme inhibition kinetic models. Journal of Biopharmaceutical Statistics, 21(3), 555-572. https://doi.org/10.1080/10543406.2010.489979
  • Riani, Marco, Atkinson, Anthony C. (2010). Robust model selection with flexible trimming. Computational Statistics and Data Analysis, 54(12, Sp), 3300-3312. https://doi.org/10.1016/j.csda.2010.03.007
  • Hejazi, T. H., Bashiri, Mahdi, Noghondarian, Kazem, Atkinson, Anthony C. (2010). Multiresponse optimization with consideration of probabilistic covariates. Quality and Reliability Engineering International, 27(4), 437-449. https://doi.org/10.1002/qre.1133
  • Atkinson, Anthony C., Riani, Marco, Cerioli, Andrea (2010). Reply to discussion of “the forward search: theory and data analysis”. Journal of the Korean Statistical Society, 39(2), 161-163. https://doi.org/10.1016/j.jkss.2010.02.008
  • Atkinson, Anthony C., Riani, Marco, Cerioli, Andrea (2010). The forward search: theory and data analysis. Journal of the Korean Statistical Society, 39(2), 117-134. https://doi.org/10.1016/j.jkss.2010.02.007
  • Cerioli, Andrea, Riani, Marco, Atkinson, Anthony C. (2009). Controlling the size of multivariate outlier tests with the MCD estimator of scatter. Statistics and Computing, 19(3), 341-353. https://doi.org/10.1007/s11222-008-9096-5
  • Atkinson, Anthony C. (2009). Econometric applications of the forward search in regression: robustness, diagnostics, and graphics. Econometric Reviews, 28(1), 21-39. https://doi.org/10.1080/07474930802387803
  • Riani, Marco, Atkinson, Anthony C. (2001). A unified approach to outliers, influence and transformations in discriminant analysis. Journal of Computational and Graphical Statistics, 10(3), 513-544. https://doi.org/10.1198/106186001317114965
  • Atkinson, Anthony C., Riani, Marco (2001). Regression diagnostics for binomial data from the forward search. Journal of the Royal Statistical Society. Series D: The Statistician, 50(1), 63-78. https://doi.org/10.1111/1467-9884.00261
  • Atkinson, Anthony (2001). Author's reply [to the letter to the editor by Taves about 1999 paper in "statistics in medicine"]. Statistics in Medicine, 20(5), 816-818. https://doi.org/10.1002/sim.865
  • Atkinson, Anthony, Fedorov, V. V (2001). Some history leading to design criteria for Bayesian prediction. In Atkinson, A., Bogacka, B. & Zhigljavsky, A. A. (Eds.), Optimum Design 2000 (pp. 3-14). Kluwer Academic Publishers.
  • Atkinson, Anthony C., Bailey, R. A. (2001). One hundred years of the design of experiments on and off the pages of "Biometrika". Biometrika, 88(1), 53-97. https://doi.org/10.1093/biomet/88.1.53
  • Atkinson, Anthony, Hackl, Peter, Müller, Werner (Eds.) (2001). MODA6 - advances in model-oriented data analysis and experimental design. Physica-Verlag.
  • Atkinson, Anthony, Bogacka, Barbara, Zhigljavsky, Anatoly (Eds.) (2001). Optimum design: 2000. Kluwer Academic Publishers.
  • Riani, Marco, Atkinson, Anthony C. (2000). Robust diagnostic data analysis: transformations in regression. Technometrics, 42(4), 384-394.
  • Atkinson, Anthony C., Cheng, Tsung-Chi (2000). On robust linear regression with incomplete data. Computational Statistics and Data Analysis, 33(4), 361-380. https://doi.org/10.1016/S0167-9473(99)00061-4
  • Atkinson, Anthony, Glennerster, Howard, Stern, Nicholas (2000). Putting economics to work: volume in honour of Michio Morishima. Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Atkinson, Anthony, Riani, Marco (2000). Robust diagnostic regression analysis. Springer Berlin / Heidelberg.
  • Atkinson, Anthony (1999). Bayesian and other biased-coin designs for sequential clinical trials. Tatra Mountains Mathematical Publications, 17, 403-421.
  • Atkinson, Anthony C., Cheng, T.-C. (1999). Computing least trimmed squares regression with the forward search. Statistics and Computing, 9(4), 251-263. https://doi.org/10.1023/A:1008942604045
  • Atkinson, Anthony (1999). Optimum biased-coin designs for sequential treatment allocation with covariate information. Statistics in Medicine, 18(14), 1741-1752. https://doi.org/10.1002/(SICI)1097-0258(19990730)18:14<1741::AID-SIM210>3.0.CO;2-F
  • Atkinson, Anthony C., Zocchi, S. S. (1999). Optimum experimental designs for multinomial logistic models. Biometrics, 55(2), 437-444. https://doi.org/10.1111/j.0006-341X.1999.00437.x
    • Public
  • Duarte, Belmiro P. M., Atkinson, Anthony C., Moerbeek, Mirjam (2025). Information-theoretic criteria for optimizing designs of individually randomized stepped-wedge clinical trials. Statistics and Computing, 35(6). https://doi.org/10.1007/s11222-025-10690-y picture_as_pdf
  • Atkinson, Anthony C., Riani, Marco, Corbellini, Aldo, Perrotta, Domenico, Todorov, Valentin (2025). Robust statistics through the monitoring approach: applications in regression. Springer. https://doi.org/10.1007/978-3-031-88365-1 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C (2025). Compound optimal design of experiments - semidefinite programming formulations. Optimization and Engineering, https://doi.org/10.1007/s11081-025-10001-4 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C. (2025). Optimal designs for efficacy-toxicity response in dose finding studies using the bivariate probit model. Computers in Biology and Medicine, 188, https://doi.org/10.1016/j.compbiomed.2025.109848 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Morelli, Gianluca, Corbellini, Aldo (2025). The use of modern robust regression analysis with graphics: an example from marketing. Stats, 8(1). https://doi.org/10.3390/stats8010006 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2024). Robust transformations for multiple regression via additivity and variance stabilization. Journal of Computational and Graphical Statistics, 33(1), 85 - 100. https://doi.org/10.1080/10618600.2023.2205447 picture_as_pdf
  • Duarte, Belmiro P. M., Atkinson, Anthony C., Pedrosa, David, van Munster, Marlena (2024). Compound optimum designs for clinical trials in personalized medicine. Mathematics, 12(19). https://doi.org/10.3390/math12193007 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C. (2024). Optimum designs for clinical trials in personalized medicine when response variance depends on treatment. Journal of Biopharmaceutical Statistics, https://doi.org/10.1080/10543406.2024.2395548 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C. (2024). Using hierarchical information-theoretic criteria to optimize subsampling of extensive datasets. Chemometrics and Intelligent Laboratory Systems, 245, https://doi.org/10.1016/j.chemolab.2024.105067 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C. (2023). Optimum design for ill-conditioned models: K–optimality and stable parameterizations. Chemometrics and Intelligent Laboratory Systems, 239, https://doi.org/10.1016/j.chemolab.2023.104874 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2023). Robust response transformations for generalized additive models via additivity and variance stabilization. In Grilli, L., Lupparelli, M., Rampichini, C., Rocco, E. & Vichi, M. (Eds.), Statistical Models and Methods for Data Science (pp. 147 - 159). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-30164-3_12 picture_as_pdf
  • Atkinson, Anthony C., Duarte, Belmiro P.M., Pedrosa, David, van Munster, Marlena (2023). Randomizing a clinical trial in neuro-degenerative disease. Contemporary Clinical Trials Communications, 33, https://doi.org/10.1016/j.conctc.2023.101140 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., P. Singh, Satya, S. Reis, Marco (2023). Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests. Statistical Papers, 64(2), 587 - 615. https://doi.org/10.1007/s00362-022-01334-8 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2023). Automatic robust Box-Cox and extended Yeo-Johnson transformations in regression. Statistical Methods and Applications, 32(1), 75 - 102. https://doi.org/10.1007/s10260-022-00640-7 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Torti, Francesca, Corbellini, Aldo (2022). Robust correspondence analysis. Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(5), 1381-1401. https://doi.org/10.1111/rssc.12580 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C (2022). Optimal designs for dose-escalation trials and individual allocations in cohorts. Statistics and Computing, 32(5). https://doi.org/10.1007/s11222-022-10158-3 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O, Oliveira, Nuno M.C (2022). Optimal design of experiments for implicit models. Journal of the American Statistical Association, 117(539), 1424 - 1437. https://doi.org/10.1080/01621459.2020.1862670 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Farcomeni, Alessio, Laurini, Fabrizio (2022). Information criteria for outlier detection avoiding arbitrary significance levels. Econometrics and Statistics, https://doi.org/10.1016/j.ecosta.2022.02.002 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, José F.O., Oliveira, Nuno M.C. (2021). Optimal design of mixture experiments for general blending models. Chemometrics and Intelligent Laboratory Systems, 217, https://doi.org/10.1016/j.chemolab.2021.104400 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C (2021). Optimal experimental design for linear time invariant state–space models. Statistics and Computing, 31(4). https://doi.org/10.1007/s11222-021-10020-y picture_as_pdf
  • Torti, Francesca, Corbellini, Aldo, Atkinson, Anthony C. (2021). fsdaSAS: a package for robust regression for very large datasets including the batch forward search. Stats, 4(2), 327 – 347. https://doi.org/10.3390/stats4020022 picture_as_pdf
  • Atkinson, Anthony C., Riani, Marco, Corbellini, Aldo (2021). The box-cox transformation: review and extensions. Statistical Science, 36(2), 239 - 255. https://doi.org/10.1214/20-STS778 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O, Oliveira, Nuno M.C (2021). A model-based framework assisting the design of vapor-liquid equilibrium experimental plans. Computers and Chemical Engineering, 145, https://doi.org/10.1016/j.compchemeng.2020.107168 picture_as_pdf
  • Di Lazzaro, Paolo, Atkinson, Anthony C., Iacomussi, Paola, Riani, Marco, Ricci, Marco, Wadhams, Peter (2020). Statistical and proactive analysis of an inter-laboratory comparison: the radiocarbon dating of the Shroud of Turin. Entropy, 22(9). https://doi.org/10.3390/e22090926 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Perrotta, Domenico (2020). Robust regression with density power divergence: theory, comparisons, and data analysis. Entropy, 22(4). https://doi.org/10.3390/e22040399 picture_as_pdf
  • Atkinson, Anthony C., Riani, Marco, Corbellini, Aldo (2020). The analysis of transformations for profit-and-loss data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 69(2), 251 - 275. https://doi.org/10.1111/rssc.12389 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O, Oliveira, Nuno M.C (2019). Optimal design of experiments for liquid–liquid equilibria characterization via semidefinite programming. Processes, 7(11). https://doi.org/10.3390/pr7110834 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Cerioli, Andrea, Corbellini, Aldo (2019). Efficient robust methods via monitoring for clustering and multivariate data analysis. Pattern Recognition, 88, 246-260. https://doi.org/10.1016/j.patcog.2018.11.016 picture_as_pdf
  • Riani, Marco, Corbellini, Aldo, Atkinson, Anthony C. (2018). The use of prior information in very robust regression for fraud detection. International Statistical Review, 86(2), 205-218. https://doi.org/10.1111/insr.12247
  • Atkinson, Anthony C., Corbellini, Aldo, Riani, Marco (2017). Robust Bayesian regression with the forward search: theory and data analysis. Test, 26(4), 869-886. https://doi.org/10.1007/s11749-017-0542-6
  • Cerioli, Andrea, Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo (2017). The power of monitoring: how to make the most of a contaminated multivariate sample. Statistical Methods and Applications, https://doi.org/10.1007/s10260-017-0409-8
  • Atkinson, Anthony C., Biswas, Atanu (2017). Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses. Computational Statistics and Data Analysis, 113, 297-310. https://doi.org/10.1016/j.csda.2016.05.022
  • Atkinson, Anthony C., Riani, Marco, Cerioli, Andrea (2017). Cluster detection and clustering with random start forward searches. Journal of Applied Statistics, 45(5), 777-798. https://doi.org/10.1080/02664763.2017.1310806
  • Atkinson, Anthony C., Cerioli, Andrea, Riani, Marco (2016). Discussion of “asymptotic theory of outlier detection algorithms for linear time series regression models” by Johansen and Nielsen. Scandinavian Journal of Statistics, 43(2), 349-352. https://doi.org/10.1111/sjos.12210
  • Atkinson, Anthony C., Bogacka, Barbara (2015). A conversation with Professor Tadeusz Caliński. Statistical Science, 30(3), 423-442. https://doi.org/10.1214/15-STS522
  • Atkinson, Anthony C. (2009). Commentary on 'Designs for dose-escalation trials with quantitative responses'. Statistics in Medicine, 28(30), 3739-3741. https://doi.org/10.1002/sim.3736
  • Riani, Marco, Atkinson, Anthony C., Cerioli, Andrea (2009). Finding an unknown number of multivariate outliers. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 71(2), 447-466. https://doi.org/10.1111/j.1467-9868.2008.00692.x
    • Restricted
  • Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Morelli, Gianluca (2025). Robust tobit regression for censored observations using extended Box-Cox Transformations. Statistical Methods and Applications, 34(3), 385 - 408. https://doi.org/10.1007/s10260-025-00798-w picture_as_pdf
  • Atkinson, Anthony C., Cerioli, Andrea, Morelli, Gianluca, Riani, Marco (2015). Finding the number of disparate clusters with background contamination. In Lausen, B., Krolak-Schwerdt, S. & Böhmer, M. (Eds.), Data Science, Learning by Latent Structures, and Knowledge Discovery (pp. 29-42). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-662-44983-7 picture_as_pdf