E7. To be completed after lesson 21

---

Exercise 7.1

Describe in words the difference between a parametric and nonparametric bootstrap for computing confidence intervals of maximum likelihood estimates.

Exercise 7.2

You may have heard that curve fitting involves “minimizing the sum of the square of the residuals.” If indeed finding the MLE for the pertinent parameters is equivalent to minimizing the sum of the square of the residuals, what underlying assumptions are there in the statistical model?

Exercise 7.3

Write down any questions or points of confusion that you have.