LM置信域法python

要使用LM置信域法在Python中实现，可以使用statsmodels库中的glm函数。首先，需要导入必要的库，并加载数据。

import statsmodels.api as sm
import statsmodels.formula.api as smf

wine = pd.read_csv('winequality-both.csv', sep=',', header=0)
wine.columns = wine.columns.str.replace(' ', '_')

然后，可以根据红葡萄酒和白葡萄酒的质量评分，进行LM置信域法的计算。

red_wine = wine.loc[wine['type']=='red', 'quality']
white_wine = wine.loc[wine['type']=='white', 'quality']

result = smf.glm('quality ~ type', data=wine, family=sm.families.Binomial()).fit()
confidence_interval = result.conf_int()

print(confidence_interval)

这段代码将计算红葡萄酒和白葡萄酒评分的置信区间，并输出结果。请注意，置信区间是用来估计总体参数（评分）的范围，我们可以使用它来比较红葡萄酒和白葡萄酒之间的差异。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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