Experiment Design Task
(Redirected from Experiment Design)
An Experiment Design Task is a design task that produces an experiment design (for a designed experiment).
- Context:
- output: an Experiment Design.
- It can be described in an Experiment Design and Analysis Textbook.
- …
- Example(s):
- Counter-Example(s):
- See: Parameter Estimation Task, Design Task.
References
2013
- http://en.wikipedia.org/wiki/Design_of_experiments
- In general usage, design of experiments (DOE) or experimental design is the design of any information-gathering exercises where variation is present, whether under the full control of the experimenter or not. However, in statistics, these terms are usually used for controlled experiments. Formal planned experimentation is often used in evaluating physical objects, chemical formulations, structures, components, and materials. Other types of study, and their design, are discussed in the articles on computer experiments, opinion polls and statistical surveys (which are types of observational study), natural experiments and quasi-experiments (for example, quasi-experimental design). See Experiment for the distinction between these types of experiments or studies.
In the design of experiments, the experimenter is often interested in the effect of some process or intervention (the "treatment") on some objects (the “experimental units"), which may be people, parts of people, groups of people, plants, animals, etc. Design of experiments is thus a discipline that has very broad application across all the natural and social sciences and engineering.
- In general usage, design of experiments (DOE) or experimental design is the design of any information-gathering exercises where variation is present, whether under the full control of the experimenter or not. However, in statistics, these terms are usually used for controlled experiments. Formal planned experimentation is often used in evaluating physical objects, chemical formulations, structures, components, and materials. Other types of study, and their design, are discussed in the articles on computer experiments, opinion polls and statistical surveys (which are types of observational study), natural experiments and quasi-experiments (for example, quasi-experimental design). See Experiment for the distinction between these types of experiments or studies.
2010
- (Seltman, 2010) ⇒ Howard J Seltman. (2010). “Experimental Design and Analysis." Carnegie Mellon University.
- QUOTE: Much of the progress in the sciences comes from performing experiments. These may be of either an exploratory or a confirmatory nature. Experimental evidence can be contrasted with evidence obtained from other sources such as observational studies, anecdotal evidence, or “from authority”. This book focuses on design and analysis of experiments.