Muntaha Nasir STATISTICS   -   Time Series Analysis

Which model is specifically designed to handle changing variance in time series data?

GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models are used to model time series with changing variance.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In the context of time series, what does 'heteroscedasticity' refer to?

Heteroscedasticity refers to the presence of non-constant variance over time in a time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the Durbin-Watson test used for in time series analysis?

The Durbin-Watson test is used to detect the presence of autocorrelation in the residuals from a regression analysis.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which technique is commonly used to decompose a time series into trend, seasonal, and residual components?

STL (Seasonal-Trend Decomposition using LOESS) is used for decomposing a time series into seasonal, trend, and residual components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a GARCH model, what does the conditional variance depend on?

GARCH models the conditional variance as a function of past squared observations (errors) and past variances.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method would you use to forecast a non-linear time series?

Neural Networks are well-suited for capturing non-linear relationships in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is a key difference between ARMA and ARIMA models?

ARIMA models extend ARMA models by including an integration (differencing) step.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the primary characteristic of a seasonal ARIMA (SARIMA) model?

SARIMA models incorporate both non-seasonal and seasonal factors in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In the context of an AR(p) model, 'p' stands for:

'p' denotes the number of lagged observations in the autoregressive model.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the Ljung-Box test assess in a time series?

The Ljung-Box test checks whether any of a group of autocorrelations of a time series are different from zero, indicating non-randomness.

STATISTICS