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Identification of Parametric Time-Series Models
| Content Provider | Scilit |
|---|---|
| Author | Tangirala, Arun K. |
| Copyright Year | 2018 |
| Description | In Chapter 9 we studied different time-series models for linear stationary random processes. A general description is given by the ARMA model (or ARIMA for integrating processes). In this chapter, we shall learn how to estimate these models using the methods of Chapters 14 and 15. Book Name: Principles of System Identification |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2011-0-15434-X&isbn=9781315222509&doi=10.1201/9781315222509-29&format=pdf |
| Ending Page | 576 |
| Page Count | 22 |
| Starting Page | 555 |
| DOI | 10.1201/9781315222509-29 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2018-10-08 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Principles of System Identification Statistics and Probability Identification Series Models Parametric Time Series Models In Chapter |
| Content Type | Text |
| Resource Type | Chapter |