Overview
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.
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Details
- ISBN-13: 9781493997596
- ISBN-10: 1493997599
- Publisher: Springer
- Publish Date: August 2019
- Dimensions: 9.21 x 6.14 x 0.88 inches
- Shipping Weight: 1.59 pounds
- Page Count: 379
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