ARMA unplugged

ARMA unplugged

We've featured ARMA models in a few of our tutorials before, but this week we'll explore them in rich detail, starting with a clear definition of the process and moving on from there.

Data preparation: Concentration of Values

Data preparation: Concentration of Values

This week, we continue with the fourth issue in our ongoing data preparation series by addressing two important anomalies commonly found in sample data: (1) concentration of values – either a tight range (e.g. proportions) or a wide dispersal over…

Data Preparation: Homogeneity

Data Preparation: Homogeneity

This week, we unveil the third issue in our ongoing series of tutorials on data preparation. This time, our focus is another bedrock assumption in time series modeling: homogeneity, or the assumption that a time series sample is drawn from…

Data preparation – Missing Values

Data preparation – Missing Values

This issue is the first in a series of articles that explore the data preparation aspect of time series analysis. Data preparation is often overlooked by analysts, but we believe it is a vital phase that wields a vast influence…

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