Profit From Your Forecasting Software

Index

A

1. Absolute error
2. Accuracy measures
   1. comparison of
   2. types of
3. Additive seasonal pattern
4. Adjusted R-squared
5. Adopter, definition of
6. Advocacy bias
7. Akaike information criterion (AIC)
8. Analogies, using in judgmental interventions
   1. using in new product forecasting
9. ARIMA (autoregressive integrated moving average) models
   1. notation
   2. seasonal
10. ARMA (autoregressive moving average) models
    1. example of fitting
11. Armstrong, Scott
12. Autocorrelation
    1. function (ACF)
13. Automation, benefits of
    1. downsides of
14. Autoregressive models

B

1. Bass diffusion model
   1. estimating
   2. limitations of
2. Baseline sales
3. Bayesian information criterion (BIC)
4. Bias
   1. measures of
5. Bottom-up forecasting
6. Box-Cox power transformation
7. Box-Jenkins method

C

1. Coefficient of determination. See R-squared
2. Coefficient of imitation
3. Coefficient of innovation
4. Collinearity. See Multicollinearity
5. Combining forecasts
6. Complexity of method
7. Constant
   1. inclusion of
8. Correcting judgmental forecasts
9. Correlation
10. Croston’s method
11. Curve fitting
    1. strengths and limitations of
12. Customer service level, definition of

D

1. Damped Holt’s method
2. Data preparation
   1. amount of data to use
3. Decomposition of judgment
4. Delphi method
5. Demand versus sales
6. Dependent variable
7. Deseasonalizing
8. Diagnostic checks
9. Differencing
   1. seasonal
10. Diffusion
11. Diffusion model
12. Double exponential smoothing
13. Dummy variables
14. Dynamic regression

E

1. Error, definition, of
2. Exception reporting
3. Exponential smoothing methods
   1. definition of
   2. double
   3. overview of
   4. simple or single
4. Extrapolation ...