A Graduate Course on Statistical Inference is popular PDF and ePub book, written by Bing Li in 2019-08-02, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, A Graduate Course on Statistical Inference can be Read Online from any device for your convenience.
A Graduate Course on Statistical Inference Book PDF Summary
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.
Detail Book of A Graduate Course on Statistical Inference PDF
- Author : Bing Li
- Release : 02 August 2019
- Publisher : Springer
- ISBN : 9781493997619
- Genre : Mathematics
- Total Page : 379 pages
- Language : English
- PDF File Size : 17,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book A Graduate Course on Statistical Inference by Bing Li, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.