Statistics
t Time Series
Modelling data that unfolds over time — trends, autocorrelation, and forecasting with ARIMA.
4 concepts— start at the top and work your way down
- 1→
Correlation
A number between −1 and 1 measuring the strength and direction of a linear relationship between two variables.
- 2→
Central Limit Theorem
The sample mean of a large number of independent random variables is approximately normally distributed — regardless of the population's shape.
- 3→
Linear Regression
Fitting a straight line to data to model and predict the relationship between two variables.
- 4→
ARIMA
AutoRegressive Integrated Moving Average — a model for time series that combines lagged values, differencing for stationarity, and lagged forecast errors.