ARIMA Model
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STATISTICS
Time Series Analysis
ARIMA Model
ARIMA models transform complex time series data into predictable patterns by removing trends and seasonality
31 Jan 2026
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What is the primary purpose of the 'integrated' component in an ARIMA model?
To difference the time series data to achieve stationarity by removing trends
To model the relationship between observations and their lagged values
To incorporate seasonal patterns directly into the model without differencing
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