ABSTRACT
In this chapter, we will describe the use of the bootstrap to generate estimates of bias, standard errors, and conždence intervals around parameter estimates. We will also include a short treatment on the jackknife, which predated the bootstrap as a method for generating estimates of bias and standard errors around parameter estimates. While the jackknife and bootstrap share some common uses, they are based on very different principles of resampling.
