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Exponential smoothing is a forecasting technique that assigns exponentially decreasing weights to past observations, giving more weight to the most recent data. The primary goal is to smooth out short-term fluctuations (noise) in time series data while keeping the underlying trend intact. By applying weighted averages, exponential smoothing effectively captures recent patterns and adjusts the forecast accordingly. This technique is widely used in scenarios where the data shows little to no trend or seasonality and is easy to implement for short-term forecasting. The other options are incorrect because: • Option 1 (Eliminating noise) is not the main goal. Exponential smoothing deals with smoothing data but not the complete elimination of noise. • Option 3 (Equal weight) is a characteristic of simple moving averages, not exponential smoothing, where weights decrease exponentially. • Option 4 (Decomposing the series) refers to decomposition techniques like classical decomposition or STL decomposition, not smoothing methods. • Option 5 (Higher-order differences) is a technique used for differencing in ARIMA models, not in exponential smoothing.
The rivers Ken and Betwa are tributaries of which larger river?
Match the following UNESCO Natural World Heritage Sites with their respective states:
______ is the state flower of Madhya Pradesh?
1. Allahbad bank has been recently brought under Prompt Corrective Action (PCA) framework by RBI. The headquarter of this bank is in:
...India and ______ has firmed up a mobility pact and vowed to expand ties in a range of areas such as trade, regional connectivity.
What is the capped benefit under the Interest Equalisation Scheme (IES) for MSME exporters for 2024-25?
निम्न में से किस स्थान पर राजस्थान की सबसे प्राचीन सभ्यता ...
‘Sitandi Wildlife Sanctuary’ is situated in which of the following state?
Which is the tallest waterfall in the world?
The State animal of Madhya Pradesh is?