Jensen D, Ramirez D. Designs enhancing Fisher information. Communications in Statistics – Theory and Methods. 2018;47:4895–4904.

Jensen D, Ramirez D. Seeking outlying subsets under star-contoured errors. Journal of Statistical Theory and Practice. 2018;13:757–775.

Jensen D, Ramirez D. On mitigating collinearity through mixtures. Journal of Statistical Computation and Simulation. 2018;88:1437–1453.

Jensen D, Ramirez D. Use of Hotelling’s T2 : Outlier diagnostics in Mixtures. International Journal of Statistics and Probability. 2017;6:24–34.

Jensen D, Ramirez D. Singular Majorants and Minorants: Enhanced Design Conditioning. Journal of Statistical Computation and Simulation. 2017;87:1827–1841.

Garcia J, Ramirez D. The successive raising estimator and its relation with the ridge estimator. Communications in Statistics – Theory and Methods. 2017;46:11123–11142.

O’Driscoll D, Ramirez D. Limitations of the standard linear regression model; a teaching perspective. In: ATINER CONFERENCE PAPER SERIES No: STA2016-2074. Athens, Greece: Athens Institute for Education and Research; 2016. pp. 1–17.

O’Driscoll D, Ramirez D. Mitigating collinearity in linear regression models using ridge, surrogate and raised estimators. Cogent Mathematics. 2016;3(1):1144697.

Jensen D, Ramirez D. Enhanced efficiency through least upper bound designs. Journal of Statistical Computation and Simulation. 2016;86:1798–1817.

O’Driscoll D, Ramirez D. Response surface designs using the generalized variance inflation factors. Cogent Mathematics. 2015;2:1–11.