Time Series Analysis - New Insights

Edited by Rifaat M. Abdalla, Mohammed El-Diasty, Andrey Kostogryzov and Nikolay Andreevich Makhutov

in Books from IntechOpen

Abstract: 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.

JEL-codes: C10 (search for similar items in EconPapers)
Date: 2023
ISBN: 978-1-80356-305-3
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Chapters in this book:

A New Approach of Power Transformations in Functional Non-Parametric Temperature Time Series

Sameera Othman and Haithem Mohammed Ali2

ARIMA Models with Time-Dependent Coefficients: Official Statistics Examples

Guy Melard

Change Detection by Monitoring Residuals from Time Series Models

Tom Burr and Kim Kaufeld

Comparison of the Out-of-Sample Forecast for Inflation Rates in Nigeria Using ARIMA and ARIMAX Models

Monday Adenomon and Felicia Oshuwalle Madu

Methods of Conditionally Optimal Forecasting for Stochastic Synergetic CALS Technologies

Igor N. Sinitsyn and Anatoly S. Shalamov

Probabilistic Predictive Modelling for Complex System Risk Assessments

Andrey Kostogryzov, Nikolay Makhutov, Andrey Nistratov and Georgy Reznikov

Sensitivity Analysis and Modeling for DEM Errors

Mohammed El-Diasty and Rifaat M. Abdalla

The L 2 - Structure of Subordinated Solution of Continuous-Time Bilinear Time Series

Abdelouahab Bibi

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:7760

DOI: 10.5772/intechopen.100724

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