Time series analysis new insights
Time series data consist of a collection of observations obtained through repeated measurements over time. When the points are plotted on a graph, one of the axes is always time. Time series analysis is a specific way of analyzing a sequence of data points. Time series data are everywhere since time...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London :
IntechOpen
2023.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746465706719 |
Tabla de Contenidos:
- 1. Sensitivity Analysis and Modeling for DEM Errors
- 2. ARIMA Models with Time-Dependent Coefficients: Official Statistics Examples
- 3. Methods of Conditionally Optimal Forecasting for Stochastic Synergetic CALS Technologies
- 4. Probabilistic Predictive Modelling for Complex System Risk Assessments
- 5. A New Approach of Power Transformations in Functional Non-Parametric Temperature Time Series
- 6. Change Detection by Monitoring Residuals from Time Series Models
- 7. Comparison of the Out-of-Sample Forecast for Inflation Rates in Nigeria Using ARIMA and ARIMAX Models
- 8. The L2 Structure of Subordinated Solution of Continuous-Time Bilinear Time Series.
