Advances in Statistical Modeling and Inference

Description

There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference. All of these developments have, in turn, stimulated new research in theoretical statistics. This volume provides an up-to-date overview of recent advances in statistical modeling and inference. Written by renowned researchers from across the world, it discusses flexible models, semi-parametric methods and transformation models, nonparametric regression and mixture models, survival and reliability analysis, and re-sampling techniques. With its coverage of methodology and theory as well as applications, the book is an essential reference for researchers, graduate students, and practitioners.

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Advances in Statistical Modeling and Inference" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2593
2. Probability Theory and Statistical Inference: Econometric Modeling with Observational Data
3. Probability and Statistical Inference
4. Essentials of Statistical Inference
5. Essentials of Statistical Inference
6. [share_ebook] Statistical Inference
7. Bayesian Statistical Inference
8. An Introduction to Statistical Inference and Its Applications with R
9. Linear Statistical Inference and its Applications
10. Principles of Statistical Inference (repost)
11. An Introduction to Probability and Statistical Inference
12. Statistical Inference: An Integrated Approach
13. Modes of Parametric Statistical Inference
14. Bootstrapping: A Nonparametric Approach to Statistical Inference
15. Introduction to Linear Models and Statistical Inference
16. Linear Statistical Inference and Its Applications, 2nd Edition