firstdifferencing
First differencing is a statistical technique used to transform a time series dataset to make it stationary. A stationary time series is one whose statistical properties, such as mean, variance, and autocorrelation, are constant over time. This transformation is particularly useful in time series analysis and forecasting, as many statistical models and methods assume or require stationarity.
The process of first differencing involves subtracting the value of a time series at a given time
where Y'_t is the first differenced value at time t, and Y_{t-1} is the value at the
First differencing can help to remove trends and seasonality from a time series, making it easier to
In some cases, first differencing may not be sufficient to achieve stationarity, and higher-order differencing (such
First differencing is a fundamental technique in time series analysis and is widely used in various fields,