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 ...

Course TopicsAcross all disciplines, the ability to test theories by experimentation is vital for validation and discovery. When designing an experiment, the researcher hopes to maximize the obtained ...

Experimental designs that gauge SUTVA violations provide useful insights into the extent and influence of interpersonal communication. This article illustrates the value of one such design, a ...

This thesis develops design-based analysis methods for field experiments that take into account the design of the probability sample by which units are drawn from a finite population and the ...

Apply the basic principles to design experiments to meet specified goals. Learn the theory underlying the methods of construction of design and analysis of experiments. Analyze data from experiments ...

The planning, conduct and analysis of scientific experiments, using examples from chemical, biological, genomic, and engineering sciences. Manipulation and visualisation of experimental data; ...

However, experimental design choices and stochastic biological processes can heavily influence the results of TIS experiments and affect downstream statistical analysis.

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, ...