Chapter 18
Exposing the Exponential Distribution (and Its Relationship to Poisson)
IN THIS CHAPTER
Building the characteristics of the exponential distribution
Finding probabilities for the exponential distribution
Calculating the mean, variance, and standard deviation for the exponential
Relating the exponential distribution to the Poisson distribution
The exponential distribution has a probability density function (pdf) that is in the shape of the exponential function. It crosses the Y axis at a positive value called λ and is skewed to the right, heading to 0 as the X values go to infinity. It’s based on the same function that models death rates and exponential decay, e to a negative power of x. Other real-world examples that call for the exponential model include lifetimes of products, times between occurrences, and the time you spend waiting in line.
In this chapter, you work on problems to find the actual pdf for the exponential distribution, see how different values of λ affect it, and find probabilities for it. You also explore the mean, variance, and standard deviation, ...
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