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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91
91
6.10 用語集
定した収入上限に依存するか。
6.10
用語集
確率密度関数（
probability density function
、
PDF
）
連続的な
CDF
の微分、値を確率密度に対応させる関数。
確率密度（
probability density
）
値の範囲で積分すると確率になる量。値が、例えば
cm
単位なら、確率密度は確
率
/cm
という単位になる。
カーネル密度推定（
kernel density estimation
、
KDE
）
標本に基づいて
PDF
を推定するアルゴリズム。
離散化する（
discretize
）
連続関数もしくは分布を離散関数で近似すること。逆は、平滑化。
素モーメント（
raw moment
）
データのべき乗の和に基づいた統計量。
中心モーメント（
central momen
）
平均からの偏差のべき乗に基づいた統計量。
標準化モーメント（
standardized moment
）
単位を持たないモーメントの比。
歪度（
skewness
）
分布がどれくらい非対称かの尺度。
標本歪度（
sample skewness
）
分布の歪度を定量化することを目的としたモーメント基盤統計量。
ピアソンの中央値歪度係数（
Pearson's median skewness coefficient
）
中央値、平均、標準偏差に基づいた分布の歪度を定量化することを目的とした統
計量。
92
6 章 確率密度関数
頑健（
robust
）
ある統計量が外れ値の影響をあまり受けないとき、その統計量は頑健である。
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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.