August 2015
Intermediate to advanced
272 pages
5h 46m
Japanese
Content preview from Think Stats 第2版 ―プログラマのための統計入門
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
140
10 章 線形最小二乗法
しましょう。
図
10-1
出生時体重と年齢の散布図と線形適合
10.3
残差
もう
1
つの有用なテストは、残差を図示することです。
thinkstats2
には、残差を
計算する関数があります。
def Residuals(xs, ys, inter, slope):
xs = np.asarray(xs)
ys = np.asarray(ys)
res = ys - (inter + slope * xs)
return res
Residuals
は、列
xs
と
ys
、推定パラメータ
inter
と
slope
を引数に取ります。返
すのは、実際の値と適合線との差です。
残差を可視化するために、回答者を年齢別に分けて、「
7.2
関係を特徴付ける」の
ように各グループのパーセンタイルを計算しました。図
10-2
は、各年齢グループで
の残差の
25
、
50
、
75
のパーセンタイルを示します。中央値は、期待どおりゼロに近
く、四分位範囲は約
2
ポンドです。したがって、母親の年齢がわかれば、
50
％の赤ちゃ
んの体重を、差が
1
ポンド以内に収まるよう推測できます。
年齢（歳）
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.