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.
175
175
12.3 線形回帰
図
12-1
高・中・低品質の大麻の
1
日のグラム当たり価格の時系列
12.3
線形回帰
時系列分析特有の手法もありますが、多くの問題で、単純なやり方は、線形回帰の
ような汎用のツールを適用することです。次の関数は、日次の価格の
DataFrame
を
引数に取り、最小二乗適合を計算して、
StatsModels
からの結果オブジェクトとモデ
ルを返します。
def RunLinearModel(daily):
model = smf.ols('ppg ~ years', data=daily)
results = model.fit()
return model, results
2010/11
2011/5
2011/11
2012/5
2012/11
2013/5
2013/11
2014/5
グラム当たり価格（ドル）
高
中
低
176
12 章 時系列分析
品質ごとにモデルをそれぞれ適合させることができます。
for name, daily in dailies.items():
model, results = RunLinearModel(daily)
print(name)
regression.SummarizeResults(results)
結果を次に示します。
品質 切片 傾き
R
2
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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.Julian F.
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.
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.Amir M.
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.