GNU Octave - Local Sector 7 web page

Chapter 25: Statistics 221normal cdf (x, m, v)Function FileFor each element of x, compute the cumulative distribution function (CDF) at x ofthe normal distribution with mean m and variance v.Default values are m = 0, v = 1.normal inv (x, m, v)Function FileFor each element of x, compute the quantile (the inverse of the CDF) at x of thenormal distribution with mean m and variance v.Default values are m = 0, v = 1.normal pdf (x, m, v)Function FileFor each element of x, compute the probability density function (PDF) at x of thenormal distribution with mean m and variance v.Default values are m = 0, v = 1.normal rnd (m, v, r, c)Function Filenormal rnd (m, v, sz)Function FileReturn an r by c or size (sz) matrix of random samples from the normal distributionwith parameters m and v. Both m and v must be scalar or of size r by c.If r and c are omitted, the size of the result matrix is the common size of m and v.pascal cdf (x, n, p)Function FileFor each element of x, compute the CDF at x of the Pascal (negative binomial)distribution with parameters n and p.The number of failures in a Bernoulli experiment with success probability p beforethe n-th success follows this distribution.pascal inv (x, n, p)Function FileFor each element of x, compute the quantile at x of the Pascal (negative binomial)distribution with parameters n and p.The number of failures in a Bernoulli experiment with success probability p beforethe n-th success follows this distribution.pascal pdf (x, n, p)Function FileFor each element of x, compute the probability density function (PDF) at x of thePascal (negative binomial) distribution with parameters n and p.The number of failures in a Bernoulli experiment with success probability p beforethe n-th success follows this distribution.