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Neyer d-optimal test
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Neyer d-optimal test : ウィキペディア英語版
Neyer d-optimal test
The Neyer D-Optimal Test is a sensitivity test. It can be used to answer questions such as "How far can a carton of eggs fall, on average, before one breaks?" If these egg cartons are very expensive, the person running the test would like to minimize the number of cartons dropped, to keep the experiment cheaper and to perform it faster. The Neyer test allows the experimenter to choose the experiment that gives the most information. In this case, given the history of egg cartons which have already been dropped, and whether those cartons broke or not, the Neyer test says "you will learn the most if you drop the next egg carton from a height of 32.123 meters."
== Applications ==

The Neyer test is useful in any situation when you wish to determine the average amount of a given stimulus needed in order to trigger a response. Examples:
* Material Toughness - how far does this type of bottle filled with detergent need to fall before it breaks?
* Drug Efficacy - how much of this drug is enough to cure this diseases?
* Toxicology - what percentage of contaminated seed is enough to cause a bird of this species to die?
* Sensory Threshold - how strong does the light have to be for this photodetector to sense it?
* Damage Threshold - how loud does the sound have to be in order to damage this microphone ?

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Neyer d-optimal test」の詳細全文を読む



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