Muntaha Nasir STATISTICS - Time Series Analysis

Which of the following methods is NOT used for model selection in time series analysis?

A. AIC. B. BIC. C. MSE. D. PCA.

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Explanation

Principal Component Analysis (PCA) is a dimensionality reduction technique, not a model selection criterion for time series.

Muntaha Nasir STATISTICS - Time Series Analysis

In ARIMA models, what does the 'I' stand for?

A. Interpolation. B. Integration. C. Imputation. D. Iteration.

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Explanation

The 'I' in ARIMA stands for 'Integration', which refers to the differencing of raw observations to allow for the removal of trends and seasonality.

Muntaha Nasir STATISTICS - Time Series Analysis

What is the primary purpose of differencing a time series?

A. To remove seasonality. B. To stabilize variance. C. To achieve stationarity. D. To remove outliers.

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Explanation

Differencing is used to transform a non-stationary series into a stationary one by subtracting the previous observation from the current observation.

Muntaha Nasir STATISTICS - Time Series Analysis

Which of the following is a key assumption of stationarity in time series analysis?

A. Mean of the series is constant over time. B. Variance of the series is constant over time. C. Autocovariance does not depend on time. D. All of the above.

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Explanation

Stationarity implies that the statistical properties of the time series do not change over time.