📄 ggdemo.m
字号:
% GGDEMO
% Demonstrations of the main functions in the generalized Gaussian density package
%
% Author: Minh N. Do, Dec. 1999
disp('Model parameter:')
mu = 0 % mean
alpha = 2 % scale
beta = 0.7 % shape
% Generate 10^4 random samples from the generalize Gaussian density
r = ggrnd(mu, alpha, beta, 1, 1000)
%r = [2 8 7 8 10 13 18 13 40 44 786 41 22 18 24 8 15 3 7 1 1];
disp('Moment matching estimate:');
[mu1, alpha1, beta1] = ggmme(r)
disp('Maximum likelihood estimate:');
[mu2, alpha2, beta2] = ggmle(r)
% Compare the estimated PDF's with the histogram
[N, X] = hist(r, 31);
clf;
bar(X, N ./ (X(2) - X(1)) / sum(N));
hold;
plot(X, ggpdf(X, mu1, alpha1, beta1), 'b');
plot(X, ggpdf(X, mu2, alpha2, beta2), 'r');
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -