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06697nam a2200901 4500 |
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ocn841518549 |
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OCoLC |
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20170124071843.4 |
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130429s2013 nju ob 001 0 eng |
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|a 2013017551
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|a HB3730
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|a BUS
|x 069030
|2 bisacsh
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|a 330.01/12
|2 23
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|a MAIN
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|a Chase, Charles.
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|a Demand-driven forecasting :
|b a structured approach to forecasting /
|c Charles W. Chase, Jr.
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|a Second edition.
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264 |
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1 |
|a Hoboken, New Jersey :
|b John Wiley & Sons, Inc.,
|c [2013]
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300 |
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|a 1 online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Wiley & SAS business series
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|a Includes bibliographical references and index.
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|a Print version record and CIP data provided by publisher.
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|a Demand-Driven Forecasting; Contents; Foreword; Preface; Acknowledgments; About the Author; Chapter 1 Demystifying Forecasting: Myths versus Reality; DATA COLLECTION, STORAGE, AND PROCESSING REALITY; ART-OF-FORECASTING MYTH; END-CAP DISPLAY DILEMMA; REALITY OF JUDGMENTAL OVERRIDES; OVEN CLEANER CONNECTION; MORE IS NOT NECESSARILY BETTER; REALITY OF UNCONSTRAINED FORECASTS, CONSTRAINED FORECASTS, AND PLANS; NORTHEAST REGIONAL SALES COMPOSITE FORECAST; HOLD-AND-ROLL MYTH; THE PLAN THAT WAS NOT GOOD ENOUGH; PACKAGE TO ORDER VERSUS MAKE TO ORDER; "DO YOU WANT FRIES WITH THAT?"; SUMMARY; NOTES.
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|a Chapter 2 What Is Demand-Driven Forecasting?TRANSITIONING FROM TRADITIONAL DEMAND FORECASTING; WHAT'S WRONG WITH THE DEMAND-GENERATION PICTURE?; FUNDAMENTAL FLAW WITH TRADITIONAL DEMAND GENERATION; RELYING SOLELY ON A SUPPLY-DRIVEN STRATEGY IS NOT THE SOLUTION; WHAT IS DEMAND-DRIVEN FORECASTING?; WHAT IS DEMAND SENSING AND SHAPING?; CHANGING THE DEMAND MANAGEMENT PROCESS IS ESSENTIAL; COMMUNICATION IS KEY; MEASURING DEMAND MANAGEMENT SUCCESS; BENEFITS OF A DEMAND-DRIVEN FORECASTING PROCESS; KEY STEPS TO IMPROVE THE DEMAND MANAGEMENT PROCESS.
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|a WHY HAVEN'T COMPANIES EMBRACED THE CONCEPT OF DEMAND-DRIVEN?Key Points; SUMMARY; NOTES; Chapter 3 Overview of Forecasting Methods; UNDERLYING METHODOLOGY; DIFFERENT CATEGORIES OF METHODS; HOW PREDICTABLE IS THE FUTURE?; SOME CAUSES OF FORECAST ERROR; SEGMENTING YOUR PRODUCTS TO CHOOSE THE APPROPRIATE FORECASTING METHOD; New Products Quadrant; Niche Brands Quadrant; Growth Brands Quadrant; Harvest Brands Quadrant; SUMMARY; NOTE; Chapter 4 Measuring Forecast Performance; "WE OVERACHIEVED OUR FORECAST, SO LET'S PARTY!"; PURPOSES FOR MEASURING FORECASTING PERFORMANCE.
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|a STANDARD STATISTICAL ERROR TERMSSPECIFIC MEASURES OF FORECAST ERROR; OUT-OF-SAMPLE MEASUREMENT; FORECAST VALUE ADDED; SUMMARY; NOTES; Chapter 5 Quantitative Forecasting Methods Using Time Series Data; UNDERSTANDING THE MODEL-FITTING PROCESS; INTRODUCTION TO QUANTITATIVE TIME SERIES METHODS; QUANTITATIVE TIME SERIES METHODS; MOVING AVERAGING; EXPONENTIAL SMOOTHING; SINGLE EXPONENTIAL SMOOTHING; HOLT'S TWO-PARAMETER METHOD; HOLT'S-WINTERS' METHOD; WINTERS' ADDITIVE SEASONALITY; Multiplicative versus Additive Seasonality; SUMMARY; NOTES; Chapter 6 Regression Analysis; REGRESSION METHODS.
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|a SIMPLE REGRESSIONCORRELATION COEFFICIENT; COEFFICIENT OF DETERMINATION; MULTIPLE REGRESSION; DATA VISUALIZATION USING SCATTER PLOTS AND LINE GRAPHS; CORRELATION MATRIX; MULTICOLLINEARITY; ANALYSIS OF VARIANCE; F-TEST; ADJUSTED R2; PARAMETER COEFFICIENTS; t-TEST; P-VALUES; VARIANCE INFLATION FACTOR; DURBIN-WATSON STATISTIC; INTERVENTION VARIABLES (OR DUMMY VARIABLES); REGRESSION MODEL RESULTS; KEY ACTIVITIES IN BUILDING A MULTIPLE REGRESSION MODEL; CAUTIONS ABOUT REGRESSION MODELS; SUMMARY; NOTES; Chapter 7 ARIMA Models; PHASE 1: IDENTIFYING THE TENTATIVE MODEL; Stationarity.
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|a Analysis of the Autocorrelation Plots.
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|a An updated new edition of the comprehensive guide to better business forecasting Many companies still look at quantitative forecasting methods with suspicion, but a new awareness is emerging across many industries as more businesses and professionals recognize the value of integrating demand data (point-of-sale and syndicated scanner data) into the forecasting process. Demand-Driven Forecasting equips you with solutions that can sense, shape, and predict future demand using highly sophisticated methods and tools. From a review of the most basic forecasting methods to the most a.
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650 |
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|a Economic forecasting.
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650 |
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|a Business forecasting.
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650 |
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0 |
|a Forecasting.
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650 |
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4 |
|a Business forecasting.
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650 |
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4 |
|a Economic forecasting.
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650 |
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4 |
|a Forecasting.
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650 |
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7 |
|a BUSINESS & ECONOMICS
|x Economics
|x Theory.
|2 bisacsh
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650 |
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7 |
|a Business forecasting.
|2 fast
|0 (OCoLC)fst00842699
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650 |
|
7 |
|a Economic forecasting.
|2 fast
|0 (OCoLC)fst00901942
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650 |
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7 |
|a Forecasting.
|2 fast
|0 (OCoLC)fst00931721
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655 |
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4 |
|a Electronic books.
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655 |
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7 |
|a Electronic books.
|2 local
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776 |
0 |
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|i Print version:
|a Chase, Charles.
|t Demand-driven forecasting.
|b Second edition.
|d Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
|z 9781118669396
|w (DLC) 2013015670
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830 |
|
0 |
|a Wiley and SAS business series.
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856 |
4 |
0 |
|u https://doi.org/10.1002/9781118691861
|z Full Text via HEAL-Link
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994 |
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|a 92
|b DG1
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