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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
children |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Compute inverse of the Normal cumulative distribution function % % CALL % % x = Norminv(p,mu,sigma); % % % INPUT % % - p, probability % - mu, distribution mean % - sigma, distribution standard deviation % % References: % [1] M. Abramowitz and I. A. Stegun, "Handbook of Mathematical % Functions", Government Printing Office, 1964, 26.2. % % % L Ferraioli 14-02-2011 % % $Id: Norminv.m,v 1.1 2011/02/14 16:08:25 luigi Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function x = Norminv(p,mu,sigma) xt = -sqrt(2).*erfcinv(2*p); x = sigma.*xt + mu; end