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 ...

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