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Hands-On Mathematics for Deep Learning
book

Hands-On Mathematics for Deep Learning

by Jay Dawani
June 2020
Intermediate to advanced content levelIntermediate to advanced
364 pages
13h 56m
English
Packt Publishing
Content preview from Hands-On Mathematics for Deep Learning

Composite hypothesis

Now, if we have a composite hypothesis, such as , the error probabilities are not singular-valued.

So, we define the power function, which is as follows:

.

Ideally, we would like W(θ) to be small on the null hypothesis and large on the alternative hypothesis.

The size of the test is , which is not an ideal size. Given , .

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Publisher Resources

ISBN: 9781838647292