| Dewey Class |
519.5 |
| Title |
New Developments in Statistical Modeling, Inference and Application ([EBook]) : Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR / / edited by Zhezhen Jin, Mengling Liu, Xiaolong Luo. |
| Added Personal Name |
Jin, Zhezhen editor. |
| Liu, Mengling editor. |
| Luo, Xiaolong editor. |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2016. |
| Physical Details |
XIV, 214 p. 33 illus., 16 illus. in color. : online resource. |
| Series |
ICSA Book Series in Statistics 2199-0980 |
| ISBN |
9783319425719 |
| Summary Note |
The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking, and innovative clinical trial design and analysis. Each paper was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe. It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events. The most timely and advanced contributions from the joint 2014 ICSA/KISS Applied Statistics Symposium All papers feature original, peer-reviewed content Coverage consists of new developments in statistical modeling and clinical research including model development, model checking, and innovative clinical trial design and analysis.: |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-3-319-42571-9 |
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