This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.
- ISBN13 9781493997596
- Publish Date 2 August 2019
- Publish Status Active
- Publish Country US
- Imprint Springer-Verlag New York Inc.
- Edition 1st ed. 2019
- Format Hardcover
- Pages 379
- Language English