General weighted optimality of designed experiments

Analyzing Statistically Designed Experiments

A white paper on analyzing data from statistically designed experiments in industry, business and research using the IMSL™ C Numerical Library.

On Computer‐Designed Quantum Experiments

Optimality Criteria for Design of Crossbreeding Experiments

Since the influential work of Dickerson (1969), there has been considerable discussion of design of crossbreeding experiments, but little detailed treatment of optimisation. Recently, Cunningham and Connolly (1989) and Soelkner and James (1990) have discussed this question, but have used different optimality criteria. Connolly and Cunningham used the sum of sampling variances of estimators, whi...

Special Issue Bootstrap Analysis of Designed Experiments

In the first ENBIS conference in Oslo, Kenett and Steinberg (On the application of bootstrapping in analyzing designed experiments. Proceedings of the 1st Annual Conference on Business and Industrial Statistics, Oslo, Norway, 17–18 September 2001) proposed the application of bootstrapping to the analysis of data derived from moderate size designed experiments. In this paper we present follow-up...

Are soccer matches badly designed experiments ?

Models in which the number of goals scored by a team in a soccer match follow a Poisson distribution, or a closely related one, have been widely discussed. We here consider a soccer match as an experiment to assess which of two teams is superior and examine the probability that the outcome of the experiment (match) truly represents the relative abilities of the two teams. Given a final score it...