Moving average and exponential smoothing models work best for stationary time series.

Name: Moving average and exponential smoothing models work best for stationary time series.
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Quizplus · Accepted Answer

Moving average and exponential smoothing models are designed to work best with stationary time series as they assume that the mean and variance of the series remain constant over time. If a time series is non-stationary, these models may not produce accurate forecasts.

Moving Average and Exponential Smoothing Models Work Best for Stationary