Time-Series Forecasting with Exponential Smoothing Uses the Following Formula:` $S _ { t } = w Y _ { t } + ( 1 - w ) S _ { t - 1 }$

question 51

Multiple Choice

Time-series forecasting with exponential smoothing uses the following formula:` $S _ { t } = w Y _ { t } + ( 1 - w ) S _ { t - 1 }$ . where $S _ { t }$ is the exponentially smoothed time series at time t, $y _ { t }$ is the value of the time series at time t, and w is the smoothing constant. The forecast value at time t + 1, where w = 0.3, is given by:

• A)Ft+1 = 0.3yt+1 + 0.7St+1.
• B)Ft+1 = 0.3yt + 0.7St-1.
• C)Ft+1 = 0.3yt + 0.7St.
• D)Ft+1 = 0.3yt-1 + 0.7St.

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Definitions:

Classical Conditioning

A learning process that occurs through associations between an environmental stimulus and a naturally occurring stimulus, famously demonstrated by Pavlov's dogs.

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Stimulus Discrimination

The learned ability to distinguish between a conditioned stimulus and other stimuli that do not signal an unconditioned stimulus.

Pigeon

A common bird known for its ability to find its way home over long distances, often used in research on navigation and in studies related to behaviorism.