A Graduate Course on Statistical Inference
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...
| Main Authors: | Li, Bing (Author, http://id.loc.gov/vocabulary/relators/aut), Babu, G. Jogesh (http://id.loc.gov/vocabulary/relators/aut) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2019.
|
| Edition: | 1st ed. 2019. |
| Series: | Springer Texts in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control
by: Selvamuthu, Dharmaraja, et al.
Published: (2018) -
U-Statistics, Mm-Estimators and Resampling
by: Bose, Arup, et al.
Published: (2018) -
Trends and Perspectives in Linear Statistical Inference LinStat, Istanbul, August 2016 /
Published: (2018) -
The Information Theory of Comparisons With Applications to Statistics and the Social Sciences /
by: Bowden, Roger, et al.
Published: (2018) -
Probability Distributions With Truncated, Log and Bivariate Extensions /
by: Thomopoulos, Nick T., et al.
Published: (2018)