| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNICAMPANIAVAN0233839 |
|
|
Autore |
Konno, Hitoshi |
|
|
Titolo |
Elliptic Quantum Groups : Representations and Related Geometry / Hitoshi Konno |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore, : Springer, 2020 |
|
|
|
|
|
|
|
Titolo uniforme |
Elliptic Quantum Groups : Representations and Related Geometry |
|
|
|
|
|
Descrizione fisica |
|
xiii, 131 p. : ill. ; 24 cm |
|
|
|
|
|
|
Soggetti |
|
14-XX - Algebraic geometry [MSC 2020] |
17-XX - Nonassociative rings and algebras [MSC 2020] |
17B37 - Quantum groups (quantized enveloping algebras) and related deformations [MSC 2020] |
20G42 - Quantum groups (quantized function algebras) and their representations [MSC 2020] |
17B38 - Yang-Baxter equations and Rota-Baxter operators [MSC 2020] |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910155107703321 |
|
|
Autore |
Brodsky B. E (Boris E.), <1955-> |
|
|
Titolo |
Change-point analysis in nonstationary stochastic models / / Boris Brodsky |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Boca Raton : , : CRC Press, , [2017] |
|
©2017 |
|
|
|
|
|
|
|
|
|
ISBN |
|
1-315-35095-5 |
1-315-36798-X |
1-4987-5597-6 |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (366 pages) : illustrations, tables |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Stochastic processes |
Stationary processes |
Change-point problems |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
A Chapman and Hall book--title page. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
1. Retrospective problems -- 2. Sequential problems. |
|
|
|
|
|
|
Sommario/riassunto |
|
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection. Such methods are constructed and their characteristics are analyzed both theoretically and experimentally. Suitable for researchers working in change-point analysis and stochastic modelling, the book includes theoretical details combined with computer simulations and practical applications. Its rigorous approach will be appreciated by those looking to delve into the details of the methods, as well as those looking to apply them. |
|
|
|
|
|
|
|
| |