Across 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 information ...

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. Understand the basic principles of ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 27, No. 1 (1978), pp. 38-46 (9 pages) This paper examines published methods for analysing designed experiments with ...

Although this Opinion article focuses on the analysis of randomly generated high-density insertion libraries that are sequentially selected under different conditions, transposon insertion sequencing ...

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

This paper outlines a unified approach to analysis of variance and design of experiments in the orthogonal case, based on unambiguous mathematical definitions of elementary statistical concepts that ...

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

A sample survey has many potential sources of error that generally have a systematic effect on the outcomes. Therefore, many large-scale field experiments are ...

How can you determine if a new process performs better than the original? How can you be confident that a new drug or vaccine will be safe and effective? How can you best determine which market(s) to ...