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Beschreibung
Indexing Time Series Data is an interesting problem that has attracted much interest in the research community for the last decade. Traditional indexing methods organize the data space using different metrics. For Time Series however, there are some cases when a metric is not suited for properly assessing the similarity between sequences which made up the scope of our studies. For this reason, we considered several methods that may best interpret, model, analyze and forecast our TS data. However, we were able to obtain the pattern of our data, determine the residuals for ACF and PACF and further predict the future outcome based the Box, George and Jenkins, Gwilym Model also known as the Box-Jenkins ARIMA Model.
Indexing Time Series Data is an interesting problem that has attracted much interest in the research community for the last decade. Traditional indexing methods organize the data space using different metrics. For Time Series however, there are some cases when a metric is not suited for properly assessing the similarity between sequences which made up the scope of our studies. For this reason, we considered several methods that may best interpret, model, analyze and forecast our TS data. However, we were able to obtain the pattern of our data, determine the residuals for ACF and PACF and further predict the future outcome based the Box, George and Jenkins, Gwilym Model also known as the Box-Jenkins ARIMA Model.
Über den Autor
Ejiga A. Fredrick holds a [...]., [...]. and Professional Certificates in Statistics. He is also certified in Public Health and ICT. His area of research includes Time Series Analysis, Design of Experiment, Demography and Non-Parametric Methods.
Details
Erscheinungsjahr: 2018
Fachbereich: Allgemeines
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 80 S.
ISBN-13: 9783659431425
ISBN-10: 3659431427
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Ejiga, Fredrick A.
Hersteller: LAP LAMBERT Academic Publishing
Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 220 x 150 x 5 mm
Von/Mit: Fredrick A. Ejiga
Erscheinungsdatum: 24.05.2018
Gewicht: 0,137 kg
Artikel-ID: 113818614