A Graduate Course on Statistical Inference
SpringerSivumäärä: 379 sivuaAsu: Kovakantinen kirjaJulkaisuvuosi: 2019, 02.08.2019 (lisätietoa)Kieli: Englanti 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.
Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 16-19 arkipäivässä