Main Commitment: I will read books about Statistics at least 30 minutes per day for the next 100 days.

Start Date: 2018-02-04

A companion project to 100 Days of Reading Paper.

## Rules

- I will read books about Statistics at least 30 minutes every day.
- I will tweet my progress every day, with the hashtag
`#100DaysOfReading #100DaysOfX #statistics #DataScience`

and note which day of the challenge I’m on. - I will track my progress here and push to GitHub.
- I will only skip a day if something important comes up. And when I resume, I won’t count the day I skipped as one of my 100 days.
I will encourage and support at least two people each day in the

`#100DaysOfReading`

challenge on Twitter. I can read at most 5 tweets about`#100DaysOfReading`

each day. Less is more. Don’t spend more than enough time on the social networking website.3 Options

- Like tweets
- Leave a comment
- (optional) Looking at their projects and giving them feedback (no more than 10 minutes per day)

## Some important additional considerations

- Don’t skip two days in a row, and try not to skip more than 1 day in 2 weeks.

## Motivations

I forgot a lot of knowledge.

This time, I wwill read books again but not force myself to remember everything. The goal is to write down notes and save on the website http://notebook.yingjiehu.com

Searching notebook is my friend, not searching Google.

## Books

## Milestone

- 1 Day: 2018-02-05 Sunday
- 7 Days
- 30 Days
- 60 Days
- 90 Days
- 100 Days

## Template for Log

1 | ### Day : |

## LOG

### Day 1: 2018-02-04 Sunday

**Book**: Applied Linear Statistical Models 5th ed

**Today’s Progress (achievements and frustrations)**:

- Page 1-8

**Thoughts and Emotions**

I like the book. It is easy to read. The disadvantage is that it is toooooooo thick.

**Tomorrow’s plan**

- Read Chapter 1

### Day 2: 2018-02-06 Tuesday

**Book**: Applied Linear Statistical Models 5th ed

**Today’s Progress (achievements and frustrations)**:

- page 8-9

**Thoughts and Emotions**

Some terminology names are different from other statistics books.

$Y_i$: the value of the response variable in the $i$th trial

It used the word “trial”. I rarely meet the word in other statistics books.

Some Math symbols conventions are different.

mean of $\varepsilon_i$

- this book: $E{\varepsilon_i}$
- other books: $E[\varepsilon_i]$

variance of $\varepsilon_i$

- this book: $\sigma^2{\varepsilon_i}$
- other books: $\sigma^2_{\varepsilon_i}$

covariance of $\varepsilon_i$ and $\varepsilon_j$

- this book: $\sigma{\varepsilon_i, \varepsilon_j}$
- other books: cov($\varepsilon_i, \varepsilon_j$)

**Tomorrow’s plan**

- Read Chapter 1

### Day :

**Book**: Applied Linear Statistical Models 5th ed

**Today’s Progress (achievements and frustrations)**:

- page 10-11

**Thoughts and Emotions**

Most of the time spent on taking notes on page 10: Important Features of Model.

In short, “Important Features of Model” can be summarized with one line formula: $Y_i \stackrel{iid}{\sim} N(\beta_0+\beta_1X_i, \sigma^2)$

I understand that why the book used verbose language to describe this: the book is for the beginners. Again, different statistics books use different terms. It becomes readers’ responsibility to connect all of them. It is hard though.

**Tomorrow’s plan**