Numerical methods for nonlinear estimating equations

by Christopher G. Small

This text provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It contains extensive coverage and comparison of hill climbing algorithms, which, when started at points of nonconcavity often have very poor convergence properties.