Continue with your mobile number
Explanation: The Dickey-Fuller test is a statistical test used to check whether a time series is stationary. Stationarity implies that the statistical properties of the series, such as mean and variance, do not change over time. In this test, the null hypothesis assumes that the series has a unit root (non-stationary), while the alternative hypothesis assumes stationarity. By examining the p-value, we determine whether to reject the null hypothesis. A p-value below a chosen significance level (e.g., 0.05) indicates stationarity. This test is essential for models like ARIMA, which require stationary data for accurate forecasting. Option A: This describes autocorrelation, not the Dickey-Fuller test. Option C: Decomposition separates components but does not test stationarity. Option D: Measuring randomness pertains to residual analysis, not Dickey-Fuller. Option E: This describes autoregressive modeling, not stationarity testing.
Who is the regulator of the corporate sector?
With respect to AS: 16 (Borrowing Costs), which of the following statement is incorrect?
What should be the correct Journal Entry for booking premium income in case of Incoming coinsurance:
Match the following: