能帮我生成关于bootstrap循环抽样来计算双参数威布尔分布的参数值的matlab程序吗

当然可以，以下是程序代码：

N = 1000;
n = 10;
alpha = 1.5;
beta = 2.5;

X = wblrnd(alpha,beta,N,1);
Y = wblrnd(alpha,beta,n,1);

for i = 1:N
B(i,:) = Y(randi(n,1,n));
end

alpha_hat = zeros(N,1);
beta_hat = zeros(N,1);

for i = 1:N
alpha_hat(i) = fminsearch(@(a) sum((B(i,:).^a).*log(B(i,:)) - B(i,:).^a - log(gamma(a+1))),1);
beta_hat(i) = mean(B(i,:).^(alpha_hat(i)));
end

alpha_ci = quantile(alpha_hat,[0.025,0.975]);
beta_ci = quantile(beta_hat,[0.025,0.975]);

disp(['95% CI for alpha: [', num2str(alpha_ci(1)), ', ', num2str(alpha_ci(2)), ']']);
disp(['95% CI for beta: [', num2str(beta_ci(1)), ', ', num2str(beta_ci(2)), ']']);

笑话：有一只熊问一只兔子：“你吃什么草？”兔子回答：“我说了不算数，你熊瞎猜。”