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|a UAMI
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100 |
1 |
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|a Goodwin, Paul,
|e author.
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245 |
1 |
0 |
|a Profit from your forecasting software :
|b a best practice guide for sales forecasters /
|c Paul Goodwin.
|
264 |
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1 |
|a Hoboken, New Jersey :
|b John Wiley & Sons, Inc.,
|c [2018]
|
300 |
|
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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490 |
0 |
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|a Wiley & SAS business series
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504 |
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|a Includes bibliographical references and index.
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505 |
0 |
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|a Cover; Title Page; Copyright; Contents; Acknowledgments; Prologue; Chapter 1: Profit from Accurate Forecasting; 1.1 The Importance of Demand Forecasting; 1.2 When Is a Forecast Not a Forecast?; 1.3 Ways of Presenting Forecasts; 1.3.1 Forecasts as Probability Distributions; 1.3.2 Point Forecasts; 1.3.3 Prediction Intervals; 1.4 The Advantages of Using Dedicated Demand Forecasting Software; 1.5 Getting Your Data Ready for Forecasting; 1.6 Trading-Day Adjustments; 1.7 Overview of the Rest of the Book; 1.8 Summary of Key Terms; 1.9 References.
|
505 |
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|a Chapter 2: How Your Software Finds Patterns in Past Demand Data2.1 Introduction; 2.2 Key Features of Sales Histories; 2.2.1 An Underlying Trend; 2.2.2 A Seasonal Pattern; 2.2.3 Noise; 2.3 Autocorrelation; 2.4 Intermittent Demand; 2.5 Outliers and Special Events; 2.6 Correlation; 2.7 Missing Values; 2.8 Wrap-Up; 2.9 Summary of Key Terms; Chapter 3: Understanding Your Software's Bias and Accuracy Measures; 3.1 Introduction; 3.2 Fitting and Forecasting; 3.2.1 Fixed-Origin Evaluations; 3.2.2 Rolling-Origin Evaluations; 3.3 Forecast Errors and Bias Measures; 3.3.1 The Mean Error (ME).
|
505 |
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|a 3.3.2 The Mean Percentage Error (MPE)3.4 Direct Accuracy Measures; 3.4.1 The Mean Absolute Error (MAE); 3.4.2 The Mean Squared Error (MSE); 3.5 Percentage Accuracy Measures; 3.5.1 The Mean Absolute Percentage Error (MAPE); 3.5.2 The Median Absolute Percentage Error (MDAPE); 3.5.3 The Symmetric Mean Absolute Percentage Error (SMAPE); 3.5.4 The MAD/MEAN Ratio; 3.5.5 Percentage Error Measures When There Is a Trend or Seasonal Pattern; 3.6 Relative Accuracy Measures; 3.6.1 Geometric Mean Relative Absolute Error (GMRAE); 3.6.2 The Mean Absolute Scaled Error (MASE).
|
505 |
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|a 3.6.3 Bayesian Information Criterion (BIC)3.7 Comparing the Different Accuracy Measures; 3.8 Exception Reporting; 3.9 Forecast Value-Added Analysis (FVA); 3.10 Wrap-Up; 3.11 Summary of Key Terms; 3.12 References; Chapter 4: Curve Fitting and Exponential Smoothing; 4.1 Introduction; 4.2 Curve Fitting; 4.2.1 Common Types of Curve; 4.2.2 Assessing How Well the Curve Fits the Sales History; 4.2.3 Strengths and Limitations of Forecasts Based on Curve Fitting; 4.3 Exponential Smoothing Methods; 4.3.1 Simple (or Single) Exponential Smoothing.
|
505 |
8 |
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|a 4.3.2 Exponential Smoothing When There Is a Trend: Holt's Method4.3.3 The Damped Holt's Method; 4.3.4 Holt's Method with an Exponential Trend; 4.3.5 Exponential Smoothing Where There Is a Trend and Seasonal Pattern: The Holt-Winters Method; 4.3.6 Overview of Exponential Smoothing Methods; 4.4 Forecasting Intermittent Demand; 4.5 Wrap-Up; 4.6 Summary of Key Terms; Chapter 5: Box-Jenkins ARIMA Models; 5.1 Introduction; 5.2 Stationarity; 5.3 Models of Stationary Time Series: Autoregressive Models; 5.4 Models of Stationary Time Series: Moving Average Models.
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588 |
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|a Online resource; title from digital title page (viewed on May 31, 2018).
|
520 |
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|a With a focus on choice, interpretation, and judgement, this practical book goes beyond the technical manuals to help you truly grasp the more intangible skills of forecasting that lead to better accuracy. --
|c Edited summary from book.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Sales forecasting.
|
650 |
|
0 |
|a Sales management
|x Data processing.
|
650 |
|
6 |
|a Ventes
|x Prévision.
|
650 |
|
6 |
|a Ventes
|x Gestion
|x Informatique.
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Industrial Management.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management Science.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Organizational Behavior.
|2 bisacsh
|
650 |
|
7 |
|a Sales forecasting
|2 fast
|
650 |
|
7 |
|a Sales management
|x Data processing
|2 fast
|
776 |
0 |
8 |
|i Print version:
|a Goodwin, Paul.
|t Profit from your forecasting software.
|d Hoboken, New Jersey : John Wiley & Sons, Inc., [2018]
|z 9781119414575
|w (DLC) 2017059951
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