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Demand-Driven Forecasting: A Structured Approach to Forecasting, 2nd Edition
book

Demand-Driven Forecasting: A Structured Approach to Forecasting, 2nd Edition

by Charles W. Chase Jr.
August 2013
Intermediate to advanced
384 pages
9h 28m
English
Wiley
Content preview from Demand-Driven Forecasting: A Structured Approach to Forecasting, 2nd Edition

Index

A

Accountable Advertising (Broadbent)

ACF (autocorrelation function plot)

ACNielsen/IRI

Additive seasonal adjustment

Adjusted R2

Adstock transformations

Advertising:

adstock transformations

gross rating points

targeted rating points

Aerospace industry

Anova (variance of analysis)

AR (autoregression)

ARIMA models:

about

Box-Jenkins overview

challenges applying

exponential smoothing versus

extending to include explanatory variables

forecastability

model results

numerators and denominators

phase 1: identifying tentative model

phase 2: estimating parameter coefficients

phase 3: creating forecasts

rational transfer functions

seasonal

stationarity of

step functions

strengths and weaknesses

transfer functions

unexplained randomness and

weighted combined forecasting

ARIMAX model:

about

demand shaping and

unexplained randomness and

ARMA (autoregressive moving average)

Armstrong, Scott

Autocorrelation

Autocorrelation function plot (ACF)

Autoregression

Autoregressive moving average (ARMA)

B

Balanced scorecard report

Bankruptcy

Bates, James

Benchmarking forecast accuracy

Best fit, line of

Beverage examples:

ARIMA models

identifying patterns in

MTCA case study

out-of-sample measurement

regression analysis

time series methods

weighted combined forecasting

BI (business intelligence)

Bias. See Personal bias

Big data

Box, George

Box-Jenkins approach:

about

forecastability

phase 1: identifying tentative model

phase 2: estimating parameter coefficients

phase 3: creating forecasts

Broadbent, ...

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Publisher Resources

ISBN: 9781118735572Purchase book