www.gusucode.com > stats 源码程序 matlab案例代码 > stats/ComputeThePoissonDistributionCdfExample.m
%% Compute the Poisson Distribution cdf % Copyright 2015 The MathWorks, Inc. %% % Create a Poisson distribution object with the rate parameter, $\lambda$, % equal to 2. lambda = 2; pd = makedist('Poisson',lambda); %% % Define the input vector _x_ to contain the values at which to calculate % the cdf. x = [0,1,2,3,4]; %% % Compute the cdf values for the Poisson distribution at the values in _x_. y = cdf(pd,x) %% % Each value in _y_ corresponds to a value in the input vector _x_. For % example, at the value _x_ equal to 3, the corresponding cdf value _y_ is % equal to 0.8571. %% % Alternatively, you can compute the same cdf values without creating a % probability distribution object. Use the |cdf| function, and specify a % Poisson distribution using the same value for the rate parameter, % $\lambda$. y2 = cdf('Poisson',x,lambda) %% % The cdf values are the same as those computed using the probability % distribution object.