Start learning 50% faster. Sign in now
Time series decomposition involves breaking down a time series into three main components: 1. Trend: The long-term direction or movement in the data (e.g., increasing or decreasing). 2. Seasonality: The repeating fluctuations at regular intervals due to seasonal factors (e.g., monthly, quarterly). 3. Residuals (or irregular components): The random, unexplained fluctuations that remain after removing the trend and seasonality. These are the "noise" or errors in the data. This decomposition is critical because it allows for better understanding and forecasting by isolating predictable patterns from random variations. Option A is incorrect because correlation is not a component of time series decomposition. Option B is incorrect as the cyclical component is different from seasonality and is often linked to economic cycles, not necessarily regular time intervals. Option C is incorrect because "cyclic behavior" and "random noise" are not formal components in standard time series decomposition. Option E is incorrect because outliers and forecast errors are not part of the standard decomposition process.
'Dove' is related to 'peace' in the same way as 'sloth' is related to:
If SMILE is coded as 19-13-9-12-5, then what is the code for LAUGH?
H is the husband of G. J and K are the sons of H. L is the son of J. L is the brother of M. N is the mother of M. How is N related to H?
How many triangles are there in the given figure?
‘CAPACITY’ is coded ’81 and ‘VOLUME’ is coded as ‘91’, then how will ‘AMOUNT’ be coded?
Select the option figure in which the given figure is embedded. (rotation is NOT allowed)
When we jump out of a boat, the boat moves in the opposite direction. This is due to:
In a warehouse, to keep 5 boxes A to E exactly one above the other, the following conditions are given:
Select the figure from the options given below that can replace the question mark (?) and complete the pattern.