{"url":"https://koreyakono.hatenadiary.jp/entry/2024/07/21/212447","blog_url":"https://koreyakono.hatenadiary.jp/","version":"1.0","categories":["Python"],"image_url":null,"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fkoreyakono.hatenadiary.jp%2Fentry%2F2024%2F07%2F21%2F212447\" title=\"Python: \u4e8c\u9805\u5206\u5e03\u3068\u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u306e\u78ba\u7387\u306e\u8a08\u7b97 - \u3042\u308c\u3084\u3053\u308c\u3084\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","width":"100%","author_name":"koreyakono","description":"scipy \u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u4e8c\u9805\u5206\u5e03\u306e\u78ba\u7387\u3092\u8a08\u7b97\u3067\u304d\u308b\u3002 \u3061\u306a\u307f\u306b\u3001\u4e8c\u9805\u5206\u5e03\u306f\u82f1\u8a9e\u3067 \"binomial distribution\" \u3068\u3044\u3046\u3002 pmf \u306f\u3001\"Probability mass function\" \u3067\u3001\u65e5\u672c\u8a9e\u306b\u8a33\u3059\u3068\u3001\"\u78ba\u7387\u8cea\u91cf\u95a2\u6570\" \u3067\u3042\u308b\u3002 \u4e8c\u9805\u5206\u5e03\u306e\u78ba\u7387\u306e\u8a08\u7b97 from scipy.stats import binom n = 200 p = 5/1000 k = 1 binom.pmf(k, n, p) \u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u306e\u78ba\u7387\u306e\u8a08\u7b97 from scipy.stats import poisson n = 200 p = 5/1000 k = 1 lmd = n * p pois\u2026","provider_name":"Hatena Blog","type":"rich","title":"Python: \u4e8c\u9805\u5206\u5e03\u3068\u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u306e\u78ba\u7387\u306e\u8a08\u7b97","provider_url":"https://hatena.blog","height":"190","published":"2024-07-21 21:24:47","author_url":"https://blog.hatena.ne.jp/koreyakono/","blog_title":"\u3042\u308c\u3084\u3053\u308c\u3084"}