typos in regression

2018-09-13 05:16:25 +02:00
parent 43ae02adf5
commit 83ab1ca1b7
39 changed files with 15307 additions and 929118 deletions
@@ -14,6 +14,3 @@ If more than 10⁵ lines are specified the autocorrelation function won't be com

 The `gaussian.dat` dataset has been generated with numpy, as a proof of concept. It represents a normally distributed set of 5x10⁵ elements with `std = 0.05`. One will notice that the estimate on the error of the central value is greatly improved by all resampling methods.

-`energy.dat` is an autocorrelated data set, with autocorrelation time of roughly 200. It is useful to see the use of blocking on this dataset as a convenient method to estimate the autocorrelation time (compare the elapsed time on the different methods).
-
-In the `plaquette.dat` file there is a small data set (just 1000 samples) and it shows the strenght of using resampling methods to better estimate the error on the central value as opposed to the standard deviation.