Daniel J. Eck, Charles J. Geyer, and R. Dennis Cook (2019). Combining Envelope Methodology and Aster Models for Variance Reduction in Life History Analyses. Minor revision requested at Journal of Statistical Planning and Inference.
Daniel J. Eck, R. Dennis Cook, Christopher Nachtsheim, and Thomas A. Albrecht (2019). Multivariate Design of Experiments for Engineering Dimensional Analysis. In press at Technometrics.
Daniel J. Eck (2018). Bootstrapping for multivariate linear regression models. Statistics and Probability Letters, 134, pgs 141-149.
Rickard J. Kohler, Susan A. Arnold, Daniel J. Eck, Chris Thomson, Matthew A. Hunt, and G. Elizabeth Pluhar (2018). Incidence of and risk factors for major complications or death in dogs undergoing cytoreductive surgery for treatment of suspected primary intracranial masses. Journal of the American Veterinary Medical Association, 253, 12, pgs 1594-1603.
Daniel J. Eck and R. Dennis Cook (2017). Weighted envelope estimation to handle variability in model selection. Biometrika, 104, 3, pgs 743-749. Software that implements the methods in this paper was created by Minji Lee and Zhihua Su, see: Renvlp.
Daniel J. Eck and Ian W. McKeague (2016). Central Limit Theorems under additive deformations. Statistics and Probability Letters, 118, pgs 156-162.
Daniel J. Eck, Ruth G. Shaw, Charles J. Geyer, and Kingsolver, Joel G. (2015). An Integrated Analysis of Phenotypic Selection on Insect Body Size and Development Time. Evolution, 69, pgs 2525-2532.
Daniel J. Eck and Charles J. Geyer (2019+). Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist.
Daniel J. Eck, Olga Morozova, and Forrest W. Crawford (2019+). Randomization for the direct effect of an infectious disease intervention in a clustered study population.
Si Cheng, Daniel J. Eck, and Forrest W. Crawford (2019+). Estimating the size of a hidden finite set: large-sample behavior of estimators
Daniel J. Eck and Forrest W. Crawford (2019+). Conformal prediction for exponential families and generalized linear models.
Daniel J. Eck, Charles J. Geyer, and R. Dennis Cook (2018). Web-based Supplementary Materials for “Combining Envelope Methodology and Aster Models for Variance Reduction in Life History Analyses”.
Daniel J. Eck, Ruth G. Shaw, Charles J. Geyer, and Joel G. Kingsolver (2015). Supporting Data Analysis for “An Integrated Analysis of Phenotypic Selection on Insect Body Size and Development Time”.
Morozova, O., Daniel J. Eck, and Forrest W. Crawford (2019+) Regression and stratification for contagious outcomes.
Daniel J. Eck (2019+). Model-free weighted envelope estimation.
First of all, I have found all of the projects that I have worked on to be fun projects. That being said, I have always had a strong interest in baseball. I enjoy using statistics to improve upon our understanding of baseball and baseball’s greatest players.
Here is a paper that shows that old time baseball players are vastly overrated compared to more modern day players: Challenging nostalgia and performance metrics in baseball.