000 06701cam a2200901 i 4500
001 ocn841518549
003 OCoLC
005 20171106115818.0
006 m o d
007 cr |||||||||||
008 130429s2013 nju ob 001 0 eng
010 _a 2013017551
020 _a9781118735640
_q(electronic bk.)
020 _a1118735641
_q(electronic bk.)
020 _a9781118735572
_q(electronic bk.)
020 _a1118735579
_q(electronic bk.)
020 _z9781118735510
020 _z111873551X
020 _z9781118669396
_q(cloth)
020 _z9781118691861
020 _z1118691865
020 _a1118669398
020 _a9781118669396
029 1 _aAU@
_b000050881356
029 1 _aAU@
_b000052908553
029 1 _aCHBIS
_b010027049
029 1 _aCHVBK
_b306232065
029 1 _aDEBBG
_bBV041245227
029 1 _aDEBBG
_bBV041573002
029 1 _aDEBSZ
_b397588186
029 1 _aDKDLA
_b820120-katalog:000664751
029 1 _aNLGGC
_b37073842X
029 1 _aNZ1
_b15351128
029 1 _aDEBBG
_bBV042742553
035 _a(OCoLC)841518549
_z(OCoLC)869214322
_z(OCoLC)880891537
_z(OCoLC)961669378
_z(OCoLC)962586748
037 _aCL0500000366
_bSafari Books Online
037 _a99CEEA45-A0DF-4EE8-B3F6-5F4AE9C76206
_bOverDrive, Inc.
_nhttp://www.overdrive.com
040 _aDLC
_beng
_erda
_epn
_cDLC
_dYDX
_dN$T
_dEBLCP
_dDG1
_dMHW
_dCUS
_dYDXCP
_dE7B
_dDEBSZ
_dB24X7
_dOCLCF
_dUMI
_dCDX
_dAU@
_dOCLCO
_dTEFOD
_dOCLCQ
_dTEFOD
_dCOO
_dDG1
042 _apcc
049 _aMAIN
050 0 0 _aHB3730
072 7 _aBUS
_x069030
_2bisacsh
082 0 0 _a330.01/12
_223
100 1 _aChase, Charles.
245 1 0 _aDemand-driven forecasting : a structured approach to forecasting /
_cCharles W. Chase, Jr.
_h[electronic resource]
250 _aSecond edition.
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons, Inc.,
_c[2013]
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aWiley & SAS business series
504 _aIncludes bibliographical references and index.
505 0 _aDemand-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.
505 8 _aChapter 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.
505 8 _aWHY 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.
505 8 _aSTANDARD 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.
505 8 _aSIMPLE 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.
505 8 _aAnalysis of the Autocorrelation Plots.
520 _aAn 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.
588 0 _aPrint version record and CIP data provided by publisher.
650 0 _aEconomic forecasting.
650 0 _aBusiness forecasting.
650 0 _aForecasting.
650 4 _aBusiness forecasting.
650 4 _aEconomic forecasting.
650 4 _aForecasting.
650 7 _aBUSINESS & ECONOMICS
_xEconomics
_xTheory.
_2bisacsh
650 7 _aBusiness forecasting.
_2fast
_0(OCoLC)fst00842699
650 7 _aEconomic forecasting.
_2fast
_0(OCoLC)fst00901942
650 7 _aForecasting.
_2fast
_0(OCoLC)fst00931721
655 4 _aElectronic books.
655 7 _aElectronic books.
_2local
776 0 8 _iPrint version:
_aChase, Charles.
_tDemand-driven forecasting.
_bSecond edition.
_dHoboken, New Jersey : John Wiley & Sons, Inc., [2013]
_z9781118669396
_w(DLC) 2013015670
830 0 _aWiley and SAS business series.
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118691861
_zWiley Online Library
942 _2ddc
_cBK
999 _c206689
_d206689