In the context of time series analysis, the Dickey-Fuller test is used to:
The Dickey-Fuller test is a statistical test used to determine whether a time series is stationary or not. A stationary time series has constant mean and variance over time, which is an important assumption in many time series forecasting models, including ARIMA. If a time series is not stationary, it can be made stationary by differencing the data. The Dickey-Fuller test specifically tests the null hypothesis that a time series has a unit root, indicating non-stationarity. Option A is incorrect because the Dickey-Fuller test is not used to determine the best forecasting model. Option C is incorrect as the Dickey-Fuller test does not specifically address seasonal patterns but rather focuses on stationarity. Option D is incorrect because the Dickey-Fuller test is a diagnostic tool and not a forecasting method. Option E is incorrect because the test does not detect outliers but rather checks for stationarity.
What is the percentage of world cotton consumption that India represents?
Which among the following is the most severe form of soil water erosion?
The plantlet that is produced through clonal propagation is termed as
National Centre for Organic and Natural farming is located at ____
Blue color seed tag indicates which class of seeds?
The earthly odour after the first shower following a warm dry period is caused by the action of
Chromosome number of diploid rice is
Kyoto Protocol is an international treaty related to
Proboscis in the mouthparts of the butterfly is formed from ____
International Rice Research Institute is located at