As its name implies, this model is the road map to follow to solve problems. a) When the process isn't doing what it is supposed to and people don't know why.b) When things keep going wrong no matter how hard everyone tries.statistical methods) that we found to be particularly useful.
As its name implies, this model is the road map to follow to solve problems. a) When the process isn't doing what it is supposed to and people don't know why.b) When things keep going wrong no matter how hard everyone tries.
Our philosopy is to start with exciting new scientific problems, identify, and carefully tune statistical analytic approaches designed to solve them.
Simple, easy to explain solutions are often the best, while other times subtler approaches are necessary.
If we find that a difficult stat theory concept is the solution then we use it, though this seems to happen very rarely in practice.
Our methodological and applied focus is fundamentally pragmatic.
" and look up to a very small and select group of Statisticians for inspiration.
In the same time we are facing a raging data revolution that could have provided inspiration, open up completely new areas of research, and placed our discipline at the core of our data-centric information society.
This is a ten-step model to guide you (and your team) through a structured problem solving process.
All too often, people jump from a problem to a solution.
Instead, an ever smaller number of statisticians work directly on emerging problems, new data structures, and data.
The problem is fundamental and obvious: there are very few statisticians working on data because the academic reward system and job market favor theoretical statistics. On this webpage we have tried to provide details about our research groups's solution for the future.