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-rw-r--r--macros/polyval.sci2
1 files changed, 0 insertions, 2 deletions
diff --git a/macros/polyval.sci b/macros/polyval.sci
index 0ec7a82..5ba13a7 100644
--- a/macros/polyval.sci
+++ b/macros/polyval.sci
@@ -5,9 +5,7 @@ function [y, delta] = polyval(p,x,S,mu)
//delta --is an estimate of the standard deviation of the error in predicting a future observation at x by p(x).
// If the coefficients in p are least squares estimates computed by polyfit, and the errors in the data input to poly// if it are independent, normal, and have constant variance, then y±delta contains at least 50% of the
// predictions of future observations at x.
-
//y = polyval(p,x,[],mu) or [y,delta] = polyval(p,x,S,mu) use ˆx=(x−μ1)/μ2 in place of x. In this equation, μ1=mean(x) // and μ2=std(x). The centering and scaling parameters mu = [μ1,μ2] is optional
-
//EXAMPLES:
//p = [3 2 1];
//y=polyval(p,[5 7 9])