Nonlinear Least Squares

Multiple Choice

Nonlinear least squares

A) solves the minimization of the sum of squared predictive mistakes through sophisticated mathematical routines, essentially by trial and error methods.
B) should always be used when you have nonlinear equations.
C) gives you the same results as maximum likelihood estimation.
D) is another name for sophisticated least squares.