The importance of discrete distributions can be summarized as follows: Modeling count data: Discrete distributions, such as Poisson and negative binomial, allow us to model count data, which is common in many applications, such as the number of people who visit a website, the number of ...
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"execution_count": 30, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "from pandas import Series, DataFrame\n", "import numpy.linalg as lin" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "import...