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Q: Applications of Hotelling's T-square distribution
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What has the author Charles F Hager written?

Charles F. Hager has written: 'Applications of the Weibull distribution'


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What is the difference between beta and normal distribution?

The probability density functions are different in shape and the domain. The domain of the beta distribution is from 0 to 1, while the normal goes from negative infinite to positive infinity. The shape of the normal is always a symmetrical, bell shape with inflection points on either sides of the mean. The beta distribution can be a variety of shapes, symmetrical half circle, inverted (cup up) half circle, or asymmetrical shapes. Normal distribution has many applications in classical hypothesis testing. Beta has many applications in Bayesian analysis. The uniform distribution is considered a specialized case of the beta distribution. See related links.


What has the author Tomasz Rolski written?

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What are some applications of normal distribution in your daily life?

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