Time series analysis : new insights / Rifaat Abdalla and [three others], editors.

Format:

Book

Contributor:

Abdalla, Rifaat, editor.

Language:

English

Subjects (All):

Time-series analysis.

Physical Description:

1 online resource (204 pages) : illustrations

Place of Publication:

London : IntechOpen, 2023.

Summary:

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 is a constituent of everything that is observable. As our world becomes increasingly digitized, sensors and systems are constantly emitting a relentless stream of time series data, which has numerous applications across various industries. The editors of this book are happy to provide the specialized reader community with this book as a modest contribution to this rapidly developing domain.

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.

Notes:

Description based on publisher supplied metadata and other sources.

Includes bibliographical references.