Probability Distribution of Random Variables Derived from Integral with Variable Upper Limit

Derivation book derivation of variable upper limit integral

The derivation process is based on the definition of the derivative and the geometric meaning of the integral, see the picture:
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Derivation of Probability Density of Random Variables

If the random variable x obeys the probability density of f(x) in the interval (negative infinity, positive infinity), set y = g(x), x = h(y), and find the probability density of y.

Because the monotonicity of x = h(y) is unknown, there are two possibilities: monotonically increasing and monotonically decreasing, so its probability density also has two possibilities:

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And the following approach cannot get the probability density about y:

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Origin blog.csdn.net/m0_37567738/article/details/131743505