New test predicts time series behavior, revolutionizing data analysis.
A new test has been developed to measure how much a time series is influenced by past values. This test is inspired by a well-known test called the Dickey-Fuller test. The goal is to determine if the time series has a certain level of influence from past values. The test is designed to control errors and provide accurate results.