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STL (Seasonal-Trend decomposition using LOESS) is a robust method for decomposing time series data, particularly when the seasonality is not fixed or follows irregular cycles, such as economic cycles. Unlike traditional methods like classical decomposition, which assume a fixed seasonal period, STL uses locally weighted regression (LOESS) to estimate the seasonal and trend components, making it flexible and capable of handling non-constant seasonal patterns. STL can handle both long-term trends and irregular, cyclical components, making it an ideal choice for data with variable seasonality or unpredictable cycles. Why Other Options Are Incorrect: • A: Classical decomposition assumes fixed seasonality and may not be effective for cyclical patterns that do not follow a regular period. • B: X-11 decomposition is a variation of classical decomposition and is also designed for regular seasonality, making it unsuitable for irregular cycles. • D: While Seasonal-Trend decomposition using LOESS (STL) is robust, it is the best option for irregular seasonality, making this method the most appropriate. • E: ARIMA decomposition is designed for models involving autoregressive, differencing, and moving averages but does not explicitly handle irregular seasonal or cyclical patterns.
The major maize producing districts in Rajasthan are -
Which earthquake measuring scale is based on Earth's rigidity and the amount and area of slip on the fault?
Which of the following is not correctly matched?
Norman Borlaug was given Nobel Prize in which field?
Which of the following pairs of State and formation year is/are correct?
I. Nagaland - 1972
II. Uttarakhand - 2000
III. Arunachal Pradesh - 1987
A. his subjects wisely
B. was a very kind and generous
C. king who looked after
D. everyone said that he
Where has the Constitution Park been inaugurated in Rajasthan by President Draupadi Murmu?
Which blood cells are called 'Soldiers' of the body?
What is the range of the intensity scale used in measuring earthquakes?