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expcdf

# expcdf - the estimate of mu If you estimate mu from a set...

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expcdf Exponential cumulative distribution function Syntax P = expcdf(X,mu) [P,PLO,PUP] = expcdf(X,mu,pcov,alpha) Description P = expcdf(X,mu) computes the exponential cdf at each of the values in X using the corresponding mean parameter mu . X and mu can be vectors, matrices, or multidimensional arrays that all have the same size. A scalar input is expanded to a constant array with the same dimensions as the other input. The parameters in mu must be positive. The exponential cdf is The result, p , is the probability that a single observation from an exponential distribution will fall in the interval [0 x ]. [P,PLO,PUP] = expcdf(X,mu,pcov,alpha) produces confidence bounds for P when the input mean parameter mu is an estimate. pcov is the variance of the estimated mu . alpha specifies 100(1 - alpha )% confidence bounds. The default value of alpha is 0.05. PLO and PUP are arrays of the same size as P containing the lower and upper confidence bounds. The bounds are based on a normal approximation for the distribution of the log of

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