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 ...

The course covers methods of design and construction of experiments and analysis of data obtained from them. Both theory and applications are covered in detail. Learning Objectives Understand the ...

Theories, hypotheses, and statistics / Samuel M. Scheiner -- Power analysis and experimental design / Robert J. Steidl, Len Thomas -- Exploratory data analysis and graphic display / Aaron M. Ellison - ...

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 ...

We develop an approach that uses a mixture of nonparametric and parametric techniques for estimating the parameters of interest when sojourn times are dependent. Design considerations for arm-in-cage ...

We have investigated the statistical analysis of data thus obtained and the problem of optimal experimental design.

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

Employment at Rothamsted Experimental Station and early involvement in designed experiments were major influences on the research of William Gemmell Cochran. Many of Cochran's life-long statistical ...

Advancing the State of Practice, Uncertainty, Sensitivity Methodologies, Severe Accident Analysis, Water Cooled Reactors, QUENCH-06 Experiment, Nuclear Accidents, Nuclear Facilities, Safety Measures, ...