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[null,"1.","Record Nr.",null,"UNINA9910647496403321"]
[null,null,"Titolo",null,"Time Series Analysis : New Insights / / edited by Rifaat Abdalla [and three others]"]
[null,null,"Pubbl/distr/stampa",null,"London : , : IntechOpen, , 2023"]
[{"$nulls":4},"©2023"]
[null,null,"Descrizione fisica",null,"1 online resource (ix, 204 pages) : illustrations"]
[null,null,"Disciplina",null,"519.55"]
[null,null,"Soggetti",null,"Time-series analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"Sommario/riassunto","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."]