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revision 1.1.2.3 by jstover, Wed Jan 15 01:10:48 2003 UTC revision 1.1.2.4 by jstover, Thu Jan 23 02:42:35 2003 UTC
# Line 10  The functions described in this section Line 10  The functions described in this section
10  * Cumulative Distribution Function Usage::  * Cumulative Distribution Function Usage::
11  * The gsl_cdf_result struct::  * The gsl_cdf_result struct::
12  * The Gaussian CDF::    * The Gaussian CDF::  
13    * The Gaussian Quantile Function::
14  * The Gamma CDF::  * The Gamma CDF::
15  * CDF Examples::  * CDF Examples::
16  * CDF References and Further Reading::  * CDF References and Further Reading::
# Line 117  Pr(Z<x) = @{1 \over \sqrt@{2 \pi \sigma^ Line 118  Pr(Z<x) = @{1 \over \sqrt@{2 \pi \sigma^
118  @end ifinfo  @end ifinfo
119    
120  @page  @page
121    @node The Gaussian Quantile Function
122    @section The Gaussian Quantile Function
123    
124    @deftypefun int gsl_cdf_inv_normal_e (double @var{p}, gsl_cdf_result * @var{result})
125    @deftypefun double gsl_cdf_inv_normal (double @var{p})
126    @end deftypefun
127    
128    These functions compute the inverse of the standard Gaussian CDF,
129    i.e. gsl_cdf_inv_normal ( double p ) will compute a value @math{t}
130    such that @math{Pr(Z<t)=p} where @math{Z} is a standard normal random variable.
131    @end deftypefun
132    
133    @page
134  @node The Gamma CDF  @node The Gamma CDF
135  @section The Gamma Cumulative Distribution Function  @section The Gamma Cumulative Distribution Function
136    

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