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CDF inv

The binomial distribution inverse CDF
Controller: CodeCogs

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Dependents

Info

Interface

C++

CDF Inv

 
doubleCDF_invintk
intn
doubley
boolupper = false )
Finds the event probability p such that the sum of the terms 0 through k of the Binomial probability density is equal to the given cumulative probability y.

There is an error with your graph parameters for CDF_inv with options k=1 n=2:10:5 y=0:1

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

Example:

#include <stdio.h>
#include <codecogs/statistics/distributions/discrete/binomial/cdf_inv.h>
#include <codecogs/statistics/distributions/discrete/binomial/cdf.h>
using namespace Stats::Dists::Discrete::Binomial;
int main()
{
  printf( "    x              CDF              INV \n" );
  for( double x=0; x<1; x+=0.1 )
  {
    double y = CDF( 5, 10, x );
    double z = CDF_inv( 5, 10, y, true );
    printf( "%f \t %f \t %f \n", x, y, z );
  }
  return getchar();
}

Output:

x              CDF              INV
0.000000         1.000000        0.000000
0.100000         0.999853        0.100000
0.200000         0.993631        0.200000
0.300000         0.952651        0.300000
0.400000         0.833761        0.400000
0.500000         0.623047        0.500000
0.600000         0.366897        0.600000
0.700000         0.150268        0.700000
0.800000         0.032793        0.800000
0.900000         0.001635        0.900000
1.000000         0.000000        1.000000

Accuracy:

Tested at random points (a,b,p).
      p         a,b domain   # trials      peak         rms
0.001 to 1        0,100       100000      2.3e-14     6.4e-16
0.001 to 1        0,10000     100000      6.6e-12     1.2e-13
10^-6 to 0.001    0,100       100000      2.0e-12     1.3e-14
10^-6 to 0.001    0,10000     100000      1.5e-12     3.2e-14

Parameters

kthe maximum number of successes, must be >= 0
nthe total number of trials, must be >= k
ythe probability of at most k successes in n trials, must be in range 0..1
upperDefault value = false

Returns

the probability of success for each trial

Authors

Stephen L. Moshier (June 2000)
Updated by Vince Cole (April 2005)
Source Code

Source code is available when you agree to a GP Licence or buy a Commercial Licence.

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