Statistical Engineering: An Idea Whose Time Has Come?
Abstract
Several authors, including the American Statistician (ASA), have noted the challenges facing statisticians when attacking large, complex, unstructured problems, as opposed to well-defined textbook problems. Clearly, the standard paradigm of selecting the one "correct" statistical method for such problems is not sufficient; a new paradigm is needed. Statistical engineering has been proposed as a discipline that can provide a viable paradigm to attack such problems, used in conjunction with sound statistical science. Of course, in order to develop as a true discipline, statistical engineering needs a well-developed theory, not just a formal definition and successful case studies. This article documents and disseminates the current state of the underlying theory of statistical engineering. Our purpose is to provide a vehicle for applied statisticians to further enhance the practice of statistics, and for academics so interested to continue development of the underlying theory of statistical engineering.
Cite
@article{arxiv.1511.06013,
title = {Statistical Engineering: An Idea Whose Time Has Come?},
author = {Roger W. Hoerl and Ronald D. Snee},
journal= {arXiv preprint arXiv:1511.06013},
year = {2015}
}
Comments
30 pages, 2 figures