|
Abstract:
|
Short-term statistical consulting opportunities can often provide enjoyable and challenging work that is qualitatively different from the usual academic pursuits. Unlike the typical research project, however, consulting work tends to be more contained and focused, has the challenge of more urgent deadlines, and often requires creative thinking in order to produce real-time results. In this talk, I discuss general strategies in statistical problem solving that lead to successful and implementable solutions given time and budget constraints that often accompany a consulting arrangement. Specifically, I describe how making various approximations to conventional statistical approaches can simplify the consultant's work, as well as permit solutions that can be applied by the client themselves. I illustrate this general approach with examples from previous statistical consulting projects.
|
