# cdfExpInv¶

## Purpose¶

Computes the exponential inverse cumulative distribution function.

## Format¶

x = cdfExpInv(p, loc, m)
Parameters
• p (NxK matrix, Nx1 vector or scalar) – Probabilities at which to compute the inverse of the exponential cumulative distribution function. $$0 \lt p \lt 1$$.

• loc (NxK matrix, Nx1 vector or scalar) – Location parameter, ExE conformable with p. $$loc < x$$.

• m (NxK matrix, Nx1 vector or scalar) – Mean parameter, ExE conformable with p. m is the reciprocal of the rate parameter sometimes called $$\lambda$$. $$m > 0$$.

Returns

x (NxK matrix, Nx1 vector or scalar) – each value of x is the value such that the exponential cdf with loc location and m mean evaluated at x is equal to the corresponding value of p.

## Examples¶

// Probabilities
p = {0.1, 0.25, 0.5, 0.75, 0.95};

// Location parameter
loc = 0;

// Mean parameter
m = 2;

// Call cdfExp
x = cdfExpInv(p, loc, m);
print "x = " x;


After above code,

x =
0.2107
0.5754
1.3863
2.7726
5.9915