In time series analysis, the key components are the trend, cyclical, and irregular components. These components help us understand the behavior of the data over time. The trend component captures long-term movements, the cyclical component captures periodic fluctuations, and the irregular component accounts for random variations. Knowing these components helps in forecasting and understanding the underlying patterns in the data.
The components of a time series include:
(A) Irregular component: Represents random variations due to unforeseen factors, such as natural disasters, sudden market changes, or other unpredictable events that cannot be forecasted.
(B) Cyclical component: Represents periodic changes over time due to economic cycles, such as business cycles, that occur at regular intervals. These can last for several years and often reflect broader economic factors.
(D) Trend component: Represents the long-term movement in the data, which shows the general direction of the series over an extended period, whether upward or downward.
Option (C), "Chronological component," is not a standard component of time series analysis. Chronological data is used in time series, but it is not considered a distinct component.
Conclusion: Thus, the correct answer is (A), (B), and (D) only.
List-I | List-II |
---|---|
(A) Distribution of a sample leads to becoming a normal distribution | (I) Central Limit Theorem |
(B) Some subset of the entire population | (II) Hypothesis |
(C) Population mean | (III) Sample |
(D) Some assumptions about the population | (IV) Parameter |