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التركية - الإنجليزية

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(Bilgisayar,Teknik) exponential smoothing

A method used in time series to smooth or to predict a series There are various forms, but all are based on the supposition that more remote history has less importance than more recent history

(Ticaret) A technique used in forecasting models that assigns different weights to past demand periods, instead of considering each one equally. A simple moving average technique takes the total demand for the last 'X' number of demand periods and divides by 'X' to get the average period demand- each period is treated the same. By contrast, in exponential smoothing a smoothing (alpha) factor (ex.- 0.1) is multiplied by the demand from the last period, and 0.9 is multiplied by the calculated average period demand for periods prior to the last, thus assigning a different weight to the last period. Raising the alpha factor gives more weight or emphasis to demand from the most recent period

the forecasted value consists of the previous period's forecast plus a percentage of the forecast error

A statistical technique commonly used to forecast time series data or to smooth the values on a control chart A forecast function is estimated from previous data using a weighted least squares technique The degree to which data in the far past is weighted relative to the near past is governed by the value of one or more smoothing constants, which must be between 0 and 1 In general, the smaller the smoothing constant, the more weight is given to the far past

An adjustment technique that takes the previous period's forecast, and adjusts it up or down based on what actually occurred in that period It accomplishes this by calculating a weighted average of the two values

Any set of data recorded in time intervals Also called time series analysis

A forecasting technique that uses a weighted average of past time series values to arrive at smoothed time series values that can be used as forecasts

the assumption that time series data tends to vary from period to period according to some geometric progression

A technique used in forecasting models that assigns different weights to past demand periods, instead of considering each one equally A simple moving average technique takes the total demand for the last 'X' number of demand periods and divides by 'X' to get the average period demand- each period is treated the same By contrast, in exponential smoothing a smoothing (alpha) factor (ex - 0 1) is multiplied by the demand from the last period, and 0 9 is multiplied by the calculated average period demand for periods prior to the last, thus assigning a different weight to the last period Raising the alpha factor gives more weight or emphasis to demand from the most recent period

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