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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199
199
13.5 結婚曲線
complete
は、完了した観察の集合です。この場合は、回答者の結婚した年齢です。
ongoing
は、不完全な観察の集合です。すなわち、インタビューを受けたときに未婚
だった女性の年齢です。
最初に、女性が結婚したときの年齢の
Hist
である、
hist_complete
、既婚女性の生
存関数である
sf_complete
、未婚女性の生存関数である
sf_ongoing
を計算しておき
ます。
回答者が結婚した年齢についてループ反復します。
t
の各値について、年齢
t
で結
婚した女性の数を示す
ended
があります。それから「リスクがある」女性の数を計算
しますが、それは次の和となります。
•
ended
、年齢
t
で結婚した回答者の数。
•
n * sf_complete[t]
、年齢
t
を超えて結婚した回答者の数。
•
m * sf_ongoing[t]
、年齢
t
を超えてインタビューに答えた未婚者の数、
t
以前に結婚していないことがわかっている。
t
でのハザード関数の推定値は、
at_risk
に対する
ended
の比率です。
lams
は、
t
をλ
(t)
に対応付けるディクショナリです。結果は、
HazardFunction
オ
ブジェクトです。
13.5
結婚曲線
この関数を試験するためには、データのクリーニングと変換が必要です。
NSFG
変数で必要なのは、次になります。
cmbirth
回答者の生年月日、すべての回答者で既知。
cmintvw
回答者とインタビューした日、すべての回答者で既知。
cmmarrhx
回答者が最初に結婚した日、適合する場合は既知。 ...
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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.
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.