13TOOLS OF PARAMETER ESTIMATION: THE PDF, CDF, AND QUANTILE FUNCTION
In this part so far, we’ve focused heavily on the building blocks of the normal distribution and its use in estimating parameters. In this chapter, we’ll dig in a bit more, exploring some mathematical tools we can use to make better claims about our parameter estimates. We’ll walk through a real-world problem and see how to approach it in different ways using a variety of metrics, functions, and visualizations.
This chapter will cover more on the probability density function (PDF); introduce the cumulative distribution function (CDF), which helps us more easily determine the ...
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