A strong experimental design gives the researcher an improved chance of a successful experiment. A poorly considered or implemented design can have a ruinous effect on the investigation. In this short ...

Reprint: R0902E Managers regularly implement new ideas without evidence to back them up. They act on hunches and often learn very little along the way. That doesn’t have to be the case. With the ...

This course educates participants in the Lean Six Sigma method of Design of Experiments (DOE), which identifies factors most important to the success of an improvement project. This analytical ...

The experiment consists of a set of model runs; the design of the experiment specifies the choice of program inputs for each run. This paper demonstrates two applications of a Bayesian method for the ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 61, No. 2 (MARCH 2012), pp. 237-251 (15 pages) Data from experiments in steady state enzyme kinetic studies and ...

William Notz, a statistics professor at Ohio State University, will discuss “Computer Experiments and the Role of Statistics,” from 1 to 1:50 p.m. on Thursday, Dec. 9, at Rochester Institute of ...

ONE of the striking characteristics of modern biological statistics is its insistence on experimental design. The most powerful methods of analysis can be used, and the greatest amount of ...

Course TopicsData collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, ...