Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 80 pp. Englisch. N° de réf. du vendeur 9783659431425
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ejiga Fredrick A.Ejiga A. Fredrick holds a B.Sc., M.Sc. 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 . N° de réf. du vendeur 385766682
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. N° de réf. du vendeur 9783659431425
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783659431425
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Box and Jenkins ARIMA Modelling of Crude Oil Production in Nigeria | Fredrick A. Ejiga | Taschenbuch | 80 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659431425 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 113818614
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