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Time Series Forecasting Models Explained by Nirmal Samuel is a document available to read on EtoBox.
What is Time Series Forecasting Models Explained about?
The document discusses time series forecasting models. There are two types of models: causal models which relate a dependent variable to independent variables, and non-causal or time series models which do not assume dependencies. Common time series models discussed include ARIMA, SES, HTM, and HWSM. The document provides details on identifying components in a time series, checking for and achieving stationarity, and selecting appropriate models and evaluating their accuracy.
- Author
- Nirmal Samuel
- Language
- EN