ABSTRACT
Parameter estimation is the process that determines a set of unknown model parameters with data. This chapter introduces simple linear regression using R for empirical datasets. Comparison of the fitted model outputs to data are emphasized as an approach to model validation and evaluation. Additional techniques include transformation so that a model equation is linear with respect to the parameters and nonlinear parameter estimation with R.
