# Efron-1979

This week’s  discussion paper for the PhD Seminar Series in Statistics is

# 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!

## 5 thoughts on “Efron-1979”

1. Olivia says:

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

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

2. Olivia says:

And I have one more:
If you got to vote, would you prefer the name Bootstrap method or the name Shotgun method? (p.25)

3. Olivia says:

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)?

4. Feng Li says:

# Notes on using LaTeX

You can use standard LaTeX commands to display mathematical formulas.

If you type

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

will give you

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

Also if you type

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

will give you

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