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4 changes: 2 additions & 2 deletions content/Chapter_20/01_Maximum_Likelihood.ipynb
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"\n",
"Assume that $\\theta$ is fixed but unknown. The method of *maximum likelihood* estimates $\\theta$ by answering the following question:\n",
"\n",
"**Among all the possible values of the parameter $\\theta$, which one maximizes the likeihood of getting our sample?**\n",
"**Among all the possible values of the parameter $\\theta$, which one maximizes the likelihood of getting our sample?**\n",
"\n",
"That maximizing value of the parameter is called the *maximum likelihood estimate* or MLE for short. In this section we will develop a method for finding MLEs. "
]
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"cell_type": "markdown",
"metadata": {},
"source": [
"The maximizing value of $\\mu$ is somewhere around $52.5$. To find exactly where it is, we have to complete the maximizatin. \n",
"The maximizing value of $\\mu$ is somewhere around $52.5$. To find exactly where it is, we have to complete the maximization. \n",
"\n",
"Find the derivative of $L$ with respect to $\\mu$. Use the Chain Rule and be careful about negative signs.\n",
"\n",
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