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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84
6 章 確率密度関数
return total
fraction
は、正規化した後の確率の和を決めます。デフォルトでは
1
です。全確
率が
0
なら
Pmf
は正規化できないので、
Normalize
は
ValueError
を起こします。
Hist
と
Pmf
は、同じコンストラクタを持ちます。引数として、
dict
, Hist, Pmf,
Cdf, pandas Series
、（ 値
,
度数）対のリスト、シーケンスを取れます。
Pmf
をインスタンス化すると、結果は正規化されます。
Hist
をインスタンス化し
た場合は、正規化されません。正規化しない
Pmf
を作るには、空の
Pmf
を生成して
修飾します。
Pmf
修飾子は
Pmf
を再正規化しません。
6.6
Cdf
実装
CDF
は値を累積確率に対応させるので、
Cdf
を
_DictWrapper
として実装すること
も可能です。しかし、
CDF
の値は順序付けられているのですが、
_DictWrapper
の値
はそうではありません。さらに、逆
CDF
を計算することが役立つことが多いのです。
すなわち、累積確率から値への対応付けです。そこで、
2
つのソートしたリストで実
装しました。これで、二分探索を前方でも後方でも対数時間で行うことができます。
Cdf
コンストラクタは、パラメータとして、値のシーケンス、
pandas Series
、値
から確率へ対応付ける辞書、（値
,
度数）対のリスト、
Hist, Pmf, Cdf
を取れます。パ
ラメータが
2
つなら、ソートした値のシーケンスと対応する累積確率のシーケンスで ...
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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.