# Qualitative Time Series Forecasting Methods

TrustingSalamander
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## 28 Questions

### ______ is a sophisticated weighted moving average method that calculates the average of a time series by giving recent demand values more weight than earlier demand values. The formula for ______ is Ft+1 = Ft + α (Dt - Ft) where t+1 Ft+1 = forecast of the time series for period Dt = actual value of the time series in period t Ft = forecast of the time series for period t α = smoothing constant (0 < α < 1)

Exponential Smoothing

### ____ is a method in quantitative forecasting that calculates the average of a time series by giving recent demand values more weight than earlier demand values.

Exponential Smoothing

### The formula Ft+1 = Ft + α (Dt - Ft) is used in ____ method for time series forecasting.

Exponential Smoothing

0 < α < 1

### ____ is the measurement used to evaluate the accuracy of forecasts.

Measurement of Forecast Accuracy

### _________ forecasts compiled from estimates of future demand made periodically by members of a company’s sales force

Sales Force Estimates

forecast

datagathering

anonymity

statistical

identified

forecasts

end

markets

demand

supply

occurrence

### In linear regression models, the dependent variable is a function of only one ______

independent variable

graphed line

slope

variables

sales

stable

trial

average

Dt-2

average

### Determining the precise weights to use for each period of data usually requires some trial-and-error experimentation, as well as determining the number of periods to include in the moving average. Ft+1 = 0.50 Dt + 0.30 Dt-1 + 0.20 Dt-2 Weighted Moving Average – each historical demand in the average can have its own weight; for example, 0.50 for the most recent period, 0.30 for the second most recent period, and 0.20 for the third most recent period Determining the precise weights to use for each period of data usually requires some trial-and-error experimentation, as well as determining the number of periods to include in the moving ______

average

Explore qualitative or judgment methods used in time series forecasting, including Sales Force Estimates, Executive Opinion, Market Research, and the Delphi method. Learn how these approaches help in making future demand predictions.

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