ABSTRACT
In this chapter, we consider Bayesian inference for the exponential distribution. Here, unlike the classical or non-Bayesian method, the population parameter is considered a random variable. The density function of the exponential distribution, conditional on the parameter θ (θ > 0), is given by () f ( x | θ ) = 1 θ e − x / θ ( x > 0 ) . https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9780203756348/09e01eef-8e60-4760-a072-0eacab519527/content/eq1007.tif"/>
