This week’s discussion paper for the

*PhD Seminar Series in Statistics*is- Efron, B. (1979). Bootstrap methods: another look at the jackknife.
*The annals of Statistics*, 7(1), 1-26.

# The reading guide

In order to have more fun in the reading, we are aiming to complete the two tasks before **Sunday, Dec 22 .**

- Post at least one question here you found during the reading.
- Give comments to at least one question that other people asked.

Happy reading!

Now I will go back to making ginger bread’s, merry christmas!

Merry Christmas and Happy new year. Let’s see if some of us can come up any though of your concerns.

And I have one more:

If you got to vote, would you prefer the name

Bootstrap methodor the nameShotgun method? (p.25)Here’s my first question:

Would you say that there is any contradiction between “We have applied the bootstrap in a nonparametric way…”(p.25) and the discussion about the need to centralize the residuals so that \( \sum_{i=1}^n \epsilon_i=0 \) (p.17-19)?

## Notes on using LaTeX

You can use standard LaTeX commands to display mathematical formulas.

If you type

will give you

Given that \( \boldsymbol{Y} = X\beta + \epsilon \) where \(\epsilon \sim N(\mu,\sigma^2)\).

Also if you type

will give you

\[\left( \sum_{k=1}^n a_k b_k \right)^{\!\!2} \leq

\left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right)

\].