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Forecasting Fundamentals by Nada Sanders

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Index

Accuracy, forecasting, 6, 19

measuring, 31–47

monitoring, 25

Additive models, 79

Adjusting statistical forecasts, 61–63

depends upon data type, 62

documenting, 62

limiting number of series, 63

monitoring, 62

only high volatile series, 63

only most important forecast, 63

structuring, 62

with domain knowledge, 61

with high degree of uncertainty, 61

with known environmental changes, 62

Adjustments

outliers, 22

trading day, 22

Analytics, 94–95

Average performance, 32

Benchmarking performance, 32

Big data, 93–94

Black swan, 98

Brainware, 103

Bullwhip effect, 13

Business intelligence, 96–97

Capability, 27

Causal models, 78–79

linear regression, 85–86

multiple regression, 86–87

Centre for Disease Control (CDC), 9

Climate change, 11

Cloud computing, ...

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