48921

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Restoration of Randomized Model Characteristics under Smoll Amounts of Data: Entropy-Robust Estimation

DOI: 

10.1109/IEEM.2013.6962513

Наименование конференции: 

  • IEEE International Conference on Industrial Engineering and Engineering Management (IEEM-2013, Bangkok)

Наименование источника: 

  • Proceedings of International Conference on Industrial Engineering and Engineering Management (IEEM-2013, Bangkok)

Город: 

  • Bangkok

Издательство: 

  • IEEE

Год издания: 

2013

Страницы: 

757-761
Аннотация
The paper presents a new approach to defining the relationships between small amounts of input and output data. This approach proceeds from involving randomized (static and dynamic) models and estimating the probabilistic characteristics of their random parameters. We consider static and dynamic models described by Volterra polynomials. The procedures of robust parametric and non-parametric estimation are constructed by exploiting the entropy concept based on the generalized informational Fermi–Dirac entropy and the generalized informational Boltzmann entropy.

Библиографическая ссылка: 

Попков Ю.С., Попков А.Ю. Restoration of Randomized Model Characteristics under Smoll Amounts of Data: Entropy-Robust Estimation / Proceedings of International Conference on Industrial Engineering and Engineering Management (IEEM-2013, Bangkok). Bangkok: IEEE, 2013. С. 757-761.