100 Days Of Reading Statistics Books (Round 1)

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

  1. I will read books about Statistics at least 30 minutes every day.
  2. I will tweet my progress every day, with the hashtag #100DaysOfReading #100DaysOfX #statistics #DataScience and note which day of the challenge I’m on.
  3. I will track my progress here and push to GitHub.
  4. 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.
  5. 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

  1. Applied Linear Statistical Models 5th ed

Milestone

Template for Log

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### Day : 

**Book**: []()

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

**Thoughts and Emotions**

**Tomorrow's plan**

<hr>

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.

    1. mean of $\varepsilon_i$

      • this book: $E{\varepsilon_i}$
      • other books: $E[\varepsilon_i]$
    2. variance of $\varepsilon_i$

      • this book: $\sigma^2{\varepsilon_i}$
      • other books: $\sigma^2_{\varepsilon_i}$
    3. 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 3: 2018-02-07 Wednesday

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.


Day 4: 2018-03-22 Thursday

Book: Applied Linear Statistical Models 5th ed

Today’s Progress (achievements and frustrations):

  • page 12-16

Thoughts and Emotions

Easy to understand.


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