expcdfExponential cumulative distribution functionSyntax P = expcdf(X,mu)[P,PLO,PUP] = expcdf(X,mu,pcov,alpha)DescriptionP = expcdf(X,mu)computes the exponential cdf at each of the values in Xusing thecorresponding mean parameter mu. Xand mucan be vectors, matrices, or multidimensionalarrays that all have the same size. A scalar input is expanded to a constant array with thesame dimensions as the other input. The parameters in mumust be positive.The exponential cdf isThe result, p, is the probability that a single observation from an exponential distribution willfall in the interval [0 x].[P,PLO,PUP] = expcdf(X,mu,pcov,alpha)produces confidence bounds for Pwhenthe input mean parameter muis an estimate. pcovis the variance of the estimated mu. alphaspecifies 100(1 - alpha)% confidence bounds. The default value of alphais 0.05. PLOand PUPare arrays of the same size as Pcontaining the lower and upper confidencebounds. The bounds are based on a normal approximation for the distribution of the log of
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