Arbeitspapier

Linearity Testing Against a Fuzzy Rule-based Model

In this paper, we introduce a linearity test for fuzzy rule-based models in the framework of time series modeling. To do so, we explore a family of statistical models, the regime switching autoregressive models, and the relations that link them to the fuzzy rule-based models. From these relations, we derive a Lagrange Multiplier linearity test and some properties of the maximum likelihood estimator needed for it. Finally, an empirical study of the goodness of the test is presented.

Language
Englisch

Bibliographic citation
Series: Texto para discussão ; No. 566

Classification
Wirtschaft
Subject
fuzzy rule-based models
time series
linearity test
statistical inference
Fuzzy-Set-Theorie
Zeitreihenanalyse

Event
Geistige Schöpfung
(who)
Aznarte, José Luis
Medeiros, Marcelo C.
Benítez Sánchez, José Manoel
Event
Veröffentlichung
(who)
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia
(where)
Rio de Janeiro
(when)
2010

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Aznarte, José Luis
  • Medeiros, Marcelo C.
  • Benítez Sánchez, José Manoel
  • Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia

Time of origin

  • 2010

Other Objects (12)