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Time series ARIMA models and the USDA Feed Grains Database (1876-2015) : U.S. oats yield per acre /

This dataset example introduces researchers to autoregressive integrated moving average (ARIMA) models for a single time series variable. An ARIMA model is a statistical model used to estimate the temporal dynamics of an individual times series. ARIMA models are frequently used for forecasting futur...

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Bibliographic Details
Corporate Author: Howard W. Odum Institute for Research in Social Science (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2017.
Subjects:
Time-series analysis > Data processing > Case studies.
Social sciences > Statistical methods > Case studies.
Oats industry > United States > Statistical methods > Case studies.
Oats as feed > United States > Statistical methods > Case studies.
Feed industry > United States > Statistical methods > Case studies.
Oats > Yields > United States > Case studies.
Série chronologique > Informatique > Études de cas.
Sciences sociales > Méthodes statistiques > Études de cas.
Avoine > Industrie > États-Unis > Méthodes statistiques > Études de cas.
Avoine (Aliment pour animaux) > États-Unis > Méthodes statistiques > Études de cas.
Aliments pour animaux > Industrie > États-Unis > Méthodes statistiques > Études de cas.
Avoine > Rendement > États-Unis > Études de cas.
Oats > Yields.
Social sciences > Statistical methods.
Time-series analysis > Data processing.
United States.
Case studies.
Online Access:Connect to the full text of the electronic book

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