Edit: The question What is the best book about generalized linear models for novices? does not answer my question. For one thing, I have essentially all of the books mentioned in the answers to that question. They do not cover this material. I've bolded the parts that need particular emphasis in my question. These "novice" textbooks don't cover the topics that I am looking for.
Every textbook I've seen on linear models or generalized linear models covers the usual Bernoulli, binomial, and poisson GLMs (generalized linear models).
I am looking for a textbook which covers the theory behind other types of GLMs that I've read about: e.g., normal, inverse-Gaussian, and Gamma (and I think I've heard of Tweedie GLMs as well from someone; can't remember where).
Does anyone know where this material is covered in a textbook?