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Anthony C. Atkinson
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2020 – today
- 2024
- [j27]Marco Riani
, Anthony C. Atkinson
Robust Transformations for Multiple Regression via Additivity and Variance Stabilization. J. Comput. Graph. Stat. 33(1): 85-100 (2024) - 2022
- [j26]Belmiro P. M. Duarte
Optimal designs for dose-escalation trials and individual allocations in cohorts. Stat. Comput. 32(5): 92 (2022) - 2021
- [j25]Belmiro P. M. Duarte
A model-based framework assisting the design of vapor-liquid equilibrium experimental plans. Comput. Chem. Eng. 145: 107168 (2021) - [j24]Belmiro P. M. Duarte
Optimal experimental design for linear time invariant state-space models. Stat. Comput. 31(4): 45 (2021) - 2020
- [j23]Marco Riani
Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis. Entropy 22(4): 399 (2020) - [j22]Paolo Di Lazzaro, Anthony C. Atkinson, Paola Iacomussi, Marco Riani, Marco Ricci, Peter Wadhams:
Statistical and Proactive Analysis of an Inter-Laboratory Comparison: The Radiocarbon Dating of the Shroud of Turin. Entropy 22(9): 926 (2020)
2010 – 2019
- 2019
- [j21]Marco Riani
Efficient robust methods via monitoring for clustering and multivariate data analysis. Pattern Recognit. 88: 246-260 (2019) - 2018
- [j20]Andrea Cerioli
The power of monitoring: how to make the most of a contaminated multivariate sample. Stat. Methods Appl. 27(4): 559-587 (2018) - [j19]Andrea Cerioli
Rejoinder to the discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. 27(4): 661-666 (2018) - 2017
- [j18]Anthony C. Atkinson, Atanu Biswas:
Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses. Comput. Stat. Data Anal. 113: 297-310 (2017) - 2016
- [j17]Anthony C. Atkinson, Marco Riani
Robust methods for heteroskedastic regression. Comput. Stat. Data Anal. 104: 209-222 (2016) - 2015
- [j16]Belmiro P. M. Duarte
A Semi-Infinite Programming based algorithm for determining T-optimum designs for model discrimination. J. Multivar. Anal. 135: 11-24 (2015) - [j15]Aldo Corbellini
Hubert, Rousseeuw and Segaert: multivariate functional outlier detection. Stat. Methods Appl. 24(2): 257-261 (2015) - 2013
- [j14]Marco Riani
Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin. Stat. Comput. 23(4): 551-561 (2013) - [c2]Anthony C. Atkinson, Andrea Cerioli
Finding the Number of Disparate Clusters with Background Contamination. ECDA 2013: 29-42 - 2012
- [j13]Francesca Torti
Benchmark testing of algorithms for very robust regression: FS, LMS and LTS. Comput. Stat. Data Anal. 56(8): 2501-2512 (2012) - 2011
- [j12]Majid Ramezani, Mahdi Bashiri
A goal programming-TOPSIS approach to multiple response optimization using the concepts of non-dominated solutions and prediction intervals. Expert Syst. Appl. 38(8): 9557-9563 (2011) - [j11]Taha Hossein Hejazi
Multiresponse optimization with consideration of probabilistic covariates. Qual. Reliab. Eng. Int. 27(4): 437-449 (2011) - [r1]Anthony C. Atkinson:
Optimum Experimental Design. International Encyclopedia of Statistical Science 2011: 1037-1039 - 2010
- [j10]Marco Riani
Robust model selection with flexible trimming. Comput. Stat. Data Anal. 54(12): 3300-3312 (2010)
2000 – 2009
- 2009
- [j9]Andrea Cerioli
Controlling the size of multivariate outlier tests with the MCD estimator of scatter. Stat. Comput. 19(3): 341-353 (2009) - 2008
- [j8]Reza Baradaran Kazemzadeh
A general framework for multiresponse optimization problems based on goal programming. Eur. J. Oper. Res. 189(2): 421-429 (2008) - 2007
- [j7]Marco Riani
Fast calibrations of the forward search for testing multiple outliers in regression. Adv. Data Anal. Classif. 1(2): 123-141 (2007) - [j6]Anthony C. Atkinson, Marco Riani:
Building Regression Models with the Forward Search. J. Comput. Inf. Technol. 15(4): 287-294 (2007) - [j5]Anthony C. Atkinson, Marco Riani
Exploratory tools for clustering multivariate data. Comput. Stat. Data Anal. 52(1): 272-285 (2007) - [c1]Marco Riani, Andrea Cerioli, Anthony C. Atkinson, Domenico Perrotta, Francesca Torti:
Fitting Mixtures of Regression Lines with the Forward Search. NATO ASI Mining Massive Data Sets for Security 2007: 271-286 - 2005
- [j4]Anthony C. Atkinson:
Robust Optimum Designs for Transformation of the Responses in a Multivariate Chemical Kinetic Model. Technometrics 47(4): 478-487 (2005) - 2004
- [j3]Anthony C. Atkinson, Marco Riani:
The forward search and data visualisation. Comput. Stat. 19(1): 29-54 (2004) - 2000
- [j2]Marco Riani
Robust Diagnostic Data Analysis: Transformations in Regression. Technometrics 42(4): 384-394 (2000)
1990 – 1999
- 1999
- [j1]Anthony C. Atkinson, T.-C. Cheng:
Computing least trimmed squares regression with the forward search. Stat. Comput. 9(4): 251-263 (1999) - 1996
- [p1]Anthony C. Atkinson, Linda M. Haines:
14 Designs for nonlinear and generalized linear models. Design and analysis of experiments 1996: 437-475
Coauthor Index
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