Binomial Inverse CDF
x = distfun_binoinv(p,N,pr) x = distfun_binoinv(p,N,pr,lowertail)
a matrix of doubles, the probability. Must be in the range [0,1].
a matrix of doubles , the total number of binomial trials . N belongs to the set {1,2,3,4,.......}
a matrix of doubles, the probability of success in a Bernoulli trial. pr in [0,1].
a 1-by-1 matrix of booleans, the tail (default lowertail=%t). If lowertail is true (the default), then considers P(X<=x) otherwise P(X>x).
a matrix of doubles, the number of successes. x belongs to the set {0,1,2,3,...,N}
Computes the Inverse cumulative distribution function of the Binomial distribution function.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.
http://en.wikipedia.org/wiki/Binomial_distribution