NCL Website header
NCL Home > Documentation > Functions > Cumulative distribution functions

cdfbin_xn

Calculates the number of binomial trials of a cumulative distribution function.

Prototype

	function cdfbin_xn (
		p   : numeric,  
		s   : numeric,  
		pr  : numeric   
	)

	return_val  :  numeric

Arguments

p

A multi-dimensional array or scalar value equal to the binomial density. The binomial density is the probability of s or fewer successes in xn trials each with probability of success pr (input/output range: [0,1]).

s

A multi-dimensional array or scalar value equal to the number of observed successes (Must be > 0)

pr

A multi-dimensional array or scalar value equal to the the probability of success in each binomial trial [0,1] Must be the same size as s.

Return value

A array of the same size as s. Double if any of the input arguments are double, float otherwise.

Description

Calculates the number of binomial trials of a cumulative distribution function.

The source code is from source routine "CDFBIN" from DCDFLIB (Double precision Cumulative Distribution Function LIBrary)

See Also

cdfbin_s,cdfbin_p,cdfbin_pr

Examples

Example 1

     p     = 0.95
     pr    = 0.75
     s     = 25.7267

     XN= cdfbin_xn(p,s,pr)       
     print("XN="+XN)             ; XN= 30.