{"categories":["\u7d4c\u6e08","\u7d71\u8a08"],"published":"2014-01-07 00:00:00","description":"\u3068\u3044\u3046\u30a8\u30f3\u30c8\u30ea\u304cBig Data Econometrics\u306a\u308b\u30d6\u30ed\u30b0\u306b\u4e0a\u304c\u3063\u3066\u3044\u308b\u3053\u3068\u3092\u6628\u5e74\u672b\u306bDave Giles\u304c\u7d39\u4ecb\u3057\u3066\u3044\u308b\u3002\u4ee5\u4e0b\u306f\u305d\u306e\u30d6\u30ed\u30b0\u30a8\u30f3\u30c8\u30ea\u300cStatistical significance in Big Data\u300d\u304b\u3089\u306e\u5f15\u7528\u3002 It has been recognized for some time that when using large data it becomes \u201ctoo easy\u201d to reject the null hypothesis of no statistical significance, since confidence intervals ar\u2026","author_url":"https://blog.hatena.ne.jp/himaginary/","blog_url":"https://himaginary.hatenablog.com/","url":"https://himaginary.hatenablog.com/entry/20140107/statistical_significance_in_big_data","version":"1.0","height":"190","provider_name":"Hatena Blog","blog_title":"himaginary\u2019s diary","type":"rich","width":"100%","image_url":"http://s0.wp.com/latex.php?latex=O%28N%5E%7B-1%7D%29&bg=ffffff&fg=404040&s=0","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhimaginary.hatenablog.com%2Fentry%2F20140107%2Fstatistical_significance_in_big_data\" title=\"\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306b\u304a\u3051\u308b\u7d71\u8a08\u7684\u6709\u610f\u6027 - himaginary\u2019s diary\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","author_name":"himaginary","title":"\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306b\u304a\u3051\u308b\u7d71\u8a08\u7684\u6709\u610f\u6027"}