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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168
11 章 回帰
演習問題
11-4
予測しようとする量がカテゴリの場合、
StatsModels
で
mnlogit
という名前の関数
で実装されている多項ロジスティック回帰（
multinomial logistic regression
）を使
える。演習として、これを使って女性が既婚、同棲中、寡婦、離婚、別居、未婚のど
れかを推測しよう。
NSFG
データセットでは、婚姻状況は
rmarital
という変数の値
に符号化されている。
25
歳、白人、高卒で年収が約
45,000
ドルの女性に会ったと仮定しよう。彼女の、
既婚、同棲中、などの確率はどうだろうか。
11.11
用語集
回帰（
regression
）
モデルをデータに適合させるパラメータ推定に関係する過程の
1
つ。
従属変数（
dependent variable
）
予測対象の回帰モデルにおける変数。内生変数とも言う。
説明変数（
explanatory variable
）
予測に使われる、すなわち、従属変数を説明する変数。独立変数または外生変数
とも言う。
単回帰（
simple regression
）
従属変数が
1
つ、説明変数が
1
つしかない回帰。
重回帰（
multiple regression
）
説明変数が複数だが従属変数は
1
つの回帰。
線形回帰（
linear regression
）
線形モデルに基づいた回帰。
線形最小二乗（
ordinary least squares
）
残差の平方誤差を最小化することによってパラメータを推定する線形回帰。
擬似相関（
spurious relationship ...
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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.