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# CDF inv

Evaluates the inverse of the Beta CDF.
Controller: CodeCogs Contents ## Dependents C++

## CDF Inv

 doubleCDF_inv( double y double alpha double beta )[inline]
The inverse CDF of the Beta distribution is identical to the inverse regularized beta function.

There is an error with your graph parameters for CDF_inv with options alpha=0.5 beta=0.5 y=0:1

Error Message:Function CDF_inv failed. Ensure that: Invalid C++

Given y, this function finds x such that
`CDF( x, alpha, beta ) = y`

The routine performs interval halving or Newton iterations to find the root of

## References:

Cephes Math Library Release 2.8: June, 2000

### Example 1

```#include <codecogs/statistics/distributions/continuous/beta/cdf_inv.h>
#include <iostream>
#include <iomanip>

#define PRECISION 17

int main()
{
std::cout << "The values of the Beta CDF inverse with alpha = beta = 0.5";
std::cout << std::endl;
std::cout << "x = {0, 0.1, 0.2, ... , 0.7, 0.8} are" << std::endl;
std::cout << std::endl;
for (double x = 0; x < 0.81; x += 0.1)
{
std::cout << std::setprecision(1);
std::cout << "x = " << std::setw(3) << x << " : ";
std::cout << std::setprecision(PRECISION);
std::cout << Stats::Dists::Continuous::Beta::CDF_inv(x, 0.5, 0.5);
std::cout << std::endl;
}
return 0;
}```
Output
```The values of the Beta CDF inverse with alpha = beta = 0.5
x = {0, 0.1, 0.2, ... , 0.7, 0.8} are

x =   0 : 0
x = 0.1 : 0.024471741852423217
x = 0.2 : 0.095491502812526302
x = 0.3 : 0.20610737385376349
x = 0.4 : 0.34549150281252633
x = 0.5 : 0.5
x = 0.6 : 0.65450849718747373
x = 0.7 : 0.79389262614623646
x = 0.8 : 0.90450849718747361```

### Parameters

 y solution we're seeking for betaCDF alpha first attribute beta second attribute

### Returns

the inverse CDF of the Beta distribution

### Authors

Lucian Bentea (August 2005)
##### Source Code

Source code is available when you buy a Commercial licence.

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