CONDITIONING PLOTS AND 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

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...

Permutation tests for factorially designed neuroimaging experiments.

Permutation methods for analysis of functional neuroimaging data acquired as factorially designed experiments are described and validated. The F ratio was estimated for main effects and interactions at each voxel in standard space. Critical values corresponding to probability thresholds were derived from a null distribution sampled by appropriate permutation of observations. Spatially informed,...

Analysing Designed Experiments in Distance Sampling

Distance sampling is a survey technique for estimating the abundance or density of wild animal populations. Detection probabilities of animals inherently differ by species, age class, habitats, or sex. By incorporating the change in an observer’s ability to detect a particular class of animals as a function of distance, distance sampling leads to density estimates that are comparable across dif...