Muntaha Nasir STATISTICS   -   Time Series Analysis

Which method can be used to decompose a time series into additive components?

STL (Seasonal-Trend Decomposition using LOESS) can decompose a time series into additive components.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In the context of a time series, what does 'MA' stand for in an ARMA model?

'MA' stands for Moving Average, representing the dependency on past forecast errors.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What does the term 'autoregressive' imply in the context of time series models?

Autoregressive models regress the current value of the series on its past values.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which of the following techniques is used to handle missing data in time series?

Linear interpolation is a common technique for handling missing data in time series.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the purpose of the 'Box-Cox transformation' in time series analysis?

The Box-Cox transformation is used to stabilize variance in time series data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a seasonal decomposition, what component represents the repeating patterns at fixed intervals?

The seasonal component captures repeating patterns at fixed intervals, such as months or quarters.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is 'overfitting' in the context of time series modeling?

Overfitting occurs when a model uses too many parameters, capturing noise rather than the underlying pattern.
Muntaha Nasir STATISTICS   -   Time Series Analysis

Which of the following is a non-parametric method for time series forecasting?

Neural Networks are non-parametric models that can capture complex patterns in time series data without assuming a specific model form.
Muntaha Nasir STATISTICS   -   Time Series Analysis

What is the primary goal of seasonal adjustment in time series analysis?

Seasonal adjustment aims to remove seasonal effects to better understand the underlying trends in the data.
Muntaha Nasir STATISTICS   -   Time Series Analysis

In a Holt-Winters seasonal model, what does the 'gamma' parameter represent?

The 'gamma' parameter in a Holt-Winters model controls the smoothing of seasonal components.

STATISTICS