Maximum likelihood estimation in generalized broken‐line regression

The author examines the existence, uniqueness, and identifiability of estimators produced by maximum likelihood for a model where the canonical parameter of an exponential family gradually begins to drift from its initial value at an unknown change point. He illustrates these properties with theoretical examples and applies his results to global warming data and failure data for emergency diesel generators.