In Probability theory and Statistics, the gamma distribution is a two-parameter family of continuous Probability distributions. (https://en.wikipedia.org/wiki/Gamma_distribution)
Bayesian probability에서 사전확률(prior probability)로 사용된다.
$$ f(x;k,\theta) = x^{k-1} \frac{e^{-x/\theta}}{\theta^k \, \Gamma(k)} \ \mathrm{for}\ x > 0 \,\! $$
Incoming Links #
Related Articles (Article 0) #
Suggested Pages #
- 0.233 Normal distribution
- 0.124 Maximum likelihood
- 0.101 Central limit theorem
- 0.073 Statistical hypothesis testing
- 0.065 Markov chain Monte Carlo
- 0.051 Q-Q plot
- 0.048 Statistical inference
- 0.041 Poisson distribution
- 0.036 Binomial distribution
- 0.034 Standard score
- More suggestions...