scipy.stats.maxwell中的loc和scale参数是什么? [英] What are the loc and scale parameters in scipy.stats.maxwell?

问题描述

maxwell-boltzmann分布由
_{(来自MathWorld-Wolfram网络资源:
(来自MathWorld-Wolfram网络资源: wolfram.com )}

通常，您需要读取发行版的文档字符串才能知道哪些参数分布了.例如， beta发行版具有 a和 b 形状参数以及 loc 和 scale 之外.

但是，我相信对于所有连续发行， distribution.pdf(x，loc，scale)等同于 distribution.pdf(y)/规模，其中 y =(x-loc)/规模.

The maxwell-boltzmann distribution is given by
_{(from MathWorld - A Wolfram Web Resource: wolfram.com)}
. The scipy.stats.maxwell distribution uses loc and scale parameters to define this distribution. How are the parameters in the two definitions connected? I also would appreciate if someone could tell in general how to determine the relation between parameters in scipy.stats and their usual definition.

解决方案

The loc parameter always shifts the x variable. In other words, it generalizes the distribution to allow shifting x=0 to x=loc. So that when loc is nonzero,

maxwell.pdf(x) = sqrt(2/pi)x**2 * exp(-x**2/2), for x > 0

becomes

maxwell.pdf(x, loc) = sqrt(2/pi)(x-loc)**2 * exp(-(x-loc)**2/2), for x > loc.

---

The doc string for scipy.stats.maxwell states:

A special case of a chi distribution, with df = 3, loc = 0.0, and given scale = a, where a is the parameter used in the Mathworld description.

So the scale corresponds to the parameter a in the equation

_{(from MathWorld - A Wolfram Web Resource: wolfram.com)}

In general you need to read the distribution's doc string to know what parameters the distribution has. The beta distribution, for example, has a and b shape parameters in addition to loc and scale.

However, I believe for all continuous distributions, distribution.pdf(x, loc, scale) is identically equivalent to distribution.pdf(y) / scale with y = (x - loc) / scale.

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