lambda = 5; % Replace with your value for lambda
mu1 = 3; % Replace with your value for mu1
n_simulations = 1000; % The number of random values you want to simulate
% Call the function
T01 = simulate_T01(lambda, mu1, n_simulations);
% Display the simulated times
disp(T01);
% Plot the data
figure; % Creates a new figure window
plot(T01, 'o-'); % Plot T01 with circle markers connected by lines
title('Simulated Times T01');
xlabel('Simulation Index');
ylabel('Time');
grid on; % Adds a grid to the plot for better readability
function T01 = simulate_T01(lambda, mu1, n_simulations)
% Ensure that lambda and mu1 are positive to avoid complex numbers
if lambda <= 0 || mu1 <= 0
error('Lambda and mu1 must be positive.');
end
% Scale u to the range of [0, lambda/(lambda + mu1)]
u = rand(1, n_simulations) * (lambda / (lambda + mu1));
% Apply the inverse CDF transform to get T01
T01 = -1 / (lambda + mu1) * log(1 - u);
end
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It's important to note that the advice and code are based on limited information and meant for educational purposes. Users should verify and adapt the code to their specific needs, ensuring compatibility and adherence to ethical standards.
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