Update on project 1

doc/Projects/2018/Project1/html/Project1.html

@@ -110,7 +110,7 @@ MathJax.Hub.Config({
 <center><b>Department of Physics, University of Oslo, Norway</b></center>
 <br>
 <p>
-<center><h4>Sep 12, 2018</h4></center> <!-- date -->
+<center><h4>Sep 14, 2018</h4></center> <!-- date -->
 <br>
 
 <h2 id="___sec0">Regression analysis and resampling methods  </h2>
@@ -128,7 +128,7 @@ to fit polynomials to a specific two-dimensional function called
 function</a>.  This
 is a function which has been widely used when testing various  interpolation and fitting
 algorithms. Furthermore, after having etsablished the model and the
-method, we will employ resamling techniques such as the  cross-validation and
+method, we will employ resamling techniques such as the  cross-validation and/or
 the bootstrap methods, in order to perform a proper assessment of our models.
 
 <p>
@@ -233,8 +233,8 @@ $$
 $$
 
 <p>
-Perform a resampling of the data where you split the data in training data and test data. Implement the \( k \)-fold cross-validation algorithm and the bootstrap algorithm
-and evaluate again the MSE and the \( R^2 \) functions resulting from the test data.
+Perform a resampling of the data where you split the data in training data and test data. Implement the \( k \)-fold cross-validation algorithm and/or the bootstrap algorithm
+and evaluate again the MSE and the \( R^2 \) functions resulting from the test data. Evaluate also the bias and variance of the final models using for example equation (7.9) in the textbook of Hastie <em>et al.</em>
 
 <h3 id="___sec2">Part b): Ridge Regression on the Franke function  with resampling </h3>