Statistics using Python programming - Using Beta distribution in Python
The Beta distribution is a family of continuous probability distributions defined on the interval [0, 1] in terms of two positive parameters, denoted by alpha (α) and beta (β), two shape parameters. Beta distribution basically shows the probability of probabilities.
The beta distribution has been applied to model the behavior of random variables limited to intervals of finite length in a wide variety of disciplines. In Bayesian inference, the beta distribution is the conjugate prior probability distribution for the Bernoulli, binomial, negative binomial and geometric distributions.
from scipy.stats import beta
beta.pdf(quantile, a, b)
beta.cdf(quantile, a, b)
beta.ppf(probs, a, b)
beta.rvs(a, b, size = n)
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#statistics
#beta
#betadistribution
#distribution
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