Time series analysis : : new insights / / Rifaat Abdalla and [three others], editors.
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...
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Place / Publishing House: | London : : IntechOpen,, 2023. |
Year of Publication: | 2023 |
Language: | English |
Physical Description: | 1 online resource (204 pages) :; illustrations |
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Table of Contents:
- 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.