Muntaha Nasir STATISTICS   -   Time Series Analysis

In time series forecasting, what is the purpose of using a holdout sample?

Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method is used to detect structural breaks in a time series?

The Chow test is used to detect structural breaks in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the key difference between an ARIMA and a SARIMA model?

SARIMA models extend ARIMA models by incorporating seasonal components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which type of plot is useful for identifying the presence of seasonality in a time series?

A seasonal subseries plot helps identify seasonal patterns in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does 'RMSE' stand for in the context of model evaluation?

RMSE stands for Root Mean Square Error, a measure of the differences between predicted and observed values.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a time series, what does 'differencing' aim to achieve?

Differencing is used to remove trend and achieve stationarity in a time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the term 'backshift operator' refer to in time series analysis?

The backshift operator shifts the series backward by one time period.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method is suitable for capturing long-range dependencies in time series data?

Long Short-Term Memory (LSTM) networks are suitable for capturing long-range dependencies in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In time series analysis, what does 'white noise' refer to?

White noise is a series with no autocorrelation and a constant mean and variance.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the role of 'hyperparameter tuning' in time series forecasting?

Hyperparameter tuning involves adjusting model parameters to improve forecasting accuracy.

STATISTICS