13TOOLS OF PARAMETER ESTIMATION: THE PDF, CDF, AND QUANTILE FUNCTION

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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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