Quantile function of the exponential distribution
This functionality does not run in MATLAB.
stats::exponentialQuantile(a, b) returns a procedure representing the quantile function (inverse)
of the cumulative distribution function stats::exponentialCDF(a, b). For 0 ≤ x ≤ 1, the solution of stats::exponentialCDF(a, b)(y) = x is given by
The procedure f := stats::exponentialQuantile(a, b) can be called in the form f(x) with an arithmetical expression x. The return value of f(x) is either a floating-point number, infinity, or a symbolic expression:
If x is a real floating-point number between 0 and 1 and a and b can be converted to suitable real floating-point numbers, then f(x) returns a floating-point number.
The calls f(1) and f(1.0) produce infinity.
In all other cases, f(x) returns the symbolic expression a-ln(1-x)/b.
Numerical values of x are only accepted if 0 ≤ x ≤ 1.
Numerical values of a and b are only accepted if they are real and b is positive.
The function is sensitive to the environment variable DIGITS. which determines the numerical working precision.
We evaluate the quantile function with a = 2 and b = 3 at various points:
f := stats::exponentialQuantile(2, 3): f(0), f(1/10), f(0.5), f(1 - 10^(-10)), f(1)
The value f(x) satisfies stats::exponentialCDF(2, 3)(f(x)) = x:
We use symbolic arguments:
f := stats::exponentialQuantile(a, b): f(x), f(1/3), f(0.4)
When suitable numerical values are assigned to a and b, the function f starts to produce numerical values:
a := 7: b := 1/8: f(0.999), f(999/1000)
Numerical values for x are only accepted if 0 ≤ x ≤ 1:
Error: An argument x with 0 <= x <= 1 is expected. [f]
delete f, a, b:
The location parameter: an arithmetical expression representing a real value
The scale parameter: an arithmetical expression representing a positive real value