Exponential smoothing: The state of the art—Part II
Tài liệu tham khảo
Adshead, 1987, Demand forecasting and cost performance in a model of a real manufacturing unit, International Journal of Production Research, 25, 1251, 10.1080/00207548708919913
Adya, 2001, Automatic identification of time series features for rule-based forecasting, International Journal of Forecasting, 17, 143, 10.1016/S0169-2070(01)00079-6
Akaike, 1970, Statistical predictor identification, Annals of the Institute of Statistical Mathematics, 22, 203, 10.1007/BF02506337
Aldrin, 1989, Forecasting non-seasonal time series with missing observations, Journal of Forecasting, 8, 97, 10.1002/for.3980080204
Anderson, 1994, Simpler exponentially weighted moving averages with irregular updating periods, Journal of the Operational Research Society, 45, 486, 10.1057/jors.1994.73
Andreassen, 1990, Judgmental extrapolation and the salience of change, Journal of Forecasting, 9, 347, 10.1002/for.3980090405
Andrews, 1994, Forecasting performance of structural time series models, Journal of Business and Economic Statistics, 12, 129
Archibald, 1990, Parameter space of the Holt–Winters' model, International Journal of Forecasting, 6, 199, 10.1016/0169-2070(90)90005-V
Archibald, 2003, Normalization of seasonal factors in Winters' methods, International Journal of Forecasting, 19, 143, 10.1016/S0169-2070(01)00117-0
Arinze, 1994, Selecting appropriate forecasting models using rule induction, Omega, 22, 647, 10.1016/0305-0483(94)90054-X
Armstrong, 1984, Forecasting by extrapolation: Conclusions from 25 years of research, Interfaces, 14, 52, 10.1287/inte.14.6.52
Artto, 1999, An effective procedure for the distribution of magazines, International Transactions in Operational Research, 6, 289, 10.1111/j.1475-3995.1999.tb00157.x
Assimakopoulos, 2000, The theta model: A decomposition approach to forecasting, International Journal of Forecasting, 16, 521, 10.1016/S0169-2070(00)00066-2
Baker, 1986, Determination of an optimal forecast model for ambulance demand using goal programming, Journal of the Operational Research Society, 37, 1047, 10.1057/jors.1986.182
Bartolomei, 1989, A note on a comparison of exponential smoothing methods for forecasting seasonal series, International Journal of Forecasting, 5, 111, 10.1016/0169-2070(89)90068-X
Bell, 1978, A new procedure for the distribution of periodicals, Journal of the Operational Research Society, 29, 427, 10.1057/jors.1978.88
Bell, 1981, Adaptive sales forecasting with many stockouts, Journal of the Operational Research Society, 32, 865, 10.1057/jors.1981.180
Bell, 2000, Forecasting demand variation when there are stockouts, Journal of the Operational Research Society, 51, 358, 10.1057/palgrave.jors.2600877
Bianchi, 1998, Improving forecasting for telemarketing centers by ARIMA modeling with intervention, International Journal of Forecasting, 14, 497, 10.1016/S0169-2070(98)00037-5
Billah, 2005, Empirical information criteria for time series forecasting model selection, Journal of Statistical Computation and Simulation, 75, 831, 10.1080/00949650410001687208
Bodo, 1987, Short-term forecasting of the industrial production index, International Journal of Forecasting, 3, 245, 10.1016/0169-2070(87)90006-9
Bossons, 1966, The effects of parameter misspecification and non-stationary on the applicability of adaptive forecasts, Management Science, 12, 659, 10.1287/mnsc.12.9.659
Bowerman, 2005
Brown, 1959
Brown, 1963
Brown, 1967
Broze, 1990, Exponential smoothing: Estimation by maximum likelihood, Journal of Forecasting, 9, 445, 10.1002/for.3980090504
Carreno, 1990, A modification of time series forecasting methods for handling announced price increases, International Journal of Forecasting, 6, 479, 10.1016/0169-2070(90)90024-6
Chambers, 1988, Forecasting demand for mail order catalogue lines during the season, European Journal of Operational Research, 34, 131, 10.1016/0377-2217(88)90347-5
Chan, 1999, The value of combining forecasts in inventory management—A case study in banking, European Journal of Operational Research, 117, 199, 10.1016/S0377-2217(98)00277-X
Chandra, 2005, Application of multiple-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand, European Journal of Operational Research, 166, 337, 10.1016/j.ejor.2004.02.012
Chatfield, 1988, What is the ‘best method’ of forecasting?, Journal of Applied Statistics, 15, 19, 10.1080/02664768800000003
Chatfield, 1993, Calculating interval forecasts, Journal of Business and Economic Statistics, 11, 121
Chatfield, 1995, Model uncertainty, data mining and statistical inference, Journal of the Royal Statistical Society. Series A, 158, 419, 10.2307/2983440
Chatfield, 1996, Model uncertainty and forecast accuracy, Journal of Forecasting, 15, 495, 10.1002/(SICI)1099-131X(199612)15:7<495::AID-FOR640>3.0.CO;2-O
Chatfield, 1997, Forecasting in the 1990s, Journal of the Royal Statistical Society. Series D, 46, 461, 10.1111/1467-9884.00100
Chatfield, 2002, Confessions of a pragmatic statistician, Journal of the Royal Statistical Society. Series D, 51, 1, 10.1111/1467-9884.00294
Chatfield, 2004
Chatfield, 1991, On confusing lead time demand with h-period-ahead forecasts, International Journal of Forecasting, 7, 239, 10.1016/0169-2070(91)90057-3
Chatfield, 2001, A new look at models for exponential smoothing, Journal of the Royal Statistical Society. Series D, 50, 147, 10.1111/1467-9884.00267
Chatfield, 1988, Holt–Winters forecasting: Some practical issues, Journal of the Royal Statistical Society. Series D, 37, 129
Chatfield, 1991, Prediction intervals for multiplicative Holt–Winters, International Journal of Forecasting, 7, 31, 10.1016/0169-2070(91)90030-Y
Chen, 1997, Robustness properties of some forecasting methods for seasonal time series: A Monte Carlo study, International Journal of Forecasting, 13, 269, 10.1016/S0169-2070(97)00014-9
Chu, 1994, Cohort analysis technique for long-term manpower planning: The case of a Hong Kong tertiary institution, Journal of the Operational Research Society, 45, 696, 10.1057/jors.1994.107
Cipra, 1992, Robust exponential smoothing, Journal of Forecasting, 11, 57, 10.1002/for.3980110106
Cipra, 1995, Holt–Winters method with missing observations, Management Science, 41, 174, 10.1287/mnsc.41.1.174
Clarke, 1993, Computer forecasting of Australian rules football for a daily newspaper, Journal of the Operational Research Society, 44, 753, 10.1057/jors.1993.134
Cogger, 1973, Specification analysis, Journal of the American Statistical Association, 68, 899, 10.1080/01621459.1973.10481443
Cohen, 1963, A note on exponential smoothing and autocorrelated inputs, Operations Research, 11, 361, 10.1287/opre.11.3.361
Collopy, 1992, Rule-based forecasting: Development and validation of an expert systems approach to combining time series extrapolations, Management Science, 38, 1394, 10.1287/mnsc.38.10.1394
Cox, 1961, Prediction by exponentially weighted moving averages and related methods, Journal of the Royal Statistical Society. Series B, 23, 414
Croston, 1972, Forecasting and stock control for intermittent demands, Operational Research Quarterly, 23, 289, 10.1057/jors.1972.50
Curry, 1995, BVAR as a category management tool: An illustration and comparison with alternative techniques, Journal of Forecasting, 14, 181, 10.1002/for.3980140304
Dejonckheere, 2003, Measuring and avoiding the bullwhip effect: A control theoretic approach, European Journal of Operational Research, 147, 567, 10.1016/S0377-2217(02)00369-7
Dejonckheere, 2004, The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective, European Journal of Operational Research, 153, 727, 10.1016/S0377-2217(02)00808-1
Dheeriya, 2000, An investigation in exchange rate behavior of emerging countries, International Journal of Public Administration, 23, 1089, 10.1080/01900690008525494
Eaves, 2004, Forecasting for the ordering and stock-holding of spare parts, Journal of the Operational Research Society, 55, 431, 10.1057/palgrave.jors.2601697
Enns, 1982, Forecasting applications of an adaptive multiple exponential smoothing model, Management Science, 28, 1035, 10.1287/mnsc.28.9.1035
Fairfield, 1993, Control theory in production/inventory systems: A case study in a food processing organization, Journal of the Operational Research Society, 44, 1173, 10.1057/jors.1993.196
Farnum, 1992, Exponential smoothing: Behavior of the ex-post sum of squares near 0 and 1, Journal of Forecasting, 11, 47, 10.1002/for.3980110105
Fildes, 1992, The evaluation of extrapolative forecasting methods, International Journal of Forecasting, 8, 81, 10.1016/0169-2070(92)90009-X
Fildes, 2001, Beyond forecasting competitions, International Journal of Forecasting, 17, 556
Fildes, 1992, Forecasting systems for production and inventory control, International Journal of Operations and Production Management, 12, 4, 10.1108/01443579210011381
Fildes, 1998, Generalising about univariate forecasting methods: Further empirical evidence, International Journal of Forecasting, 14, 339, 10.1016/S0169-2070(98)00009-0
Fildes, 1997, One day ahead demand forecasting in the utility industries: Two case studies, Journal of the Operational Research Society, 48, 15, 10.1057/palgrave.jors.2600320
Flores, 1993, Use of cost and accuracy measures in forecasting method selection: A physical distribution example, International Journal of Production Research, 31, 139, 10.1080/00207549308956717
Flores, 2000, The use of an expert system in the M3 competition, International Journal of Forecasting, 16, 485, 10.1016/S0169-2070(00)00068-6
García-Flores, 2003, Tuning inventory policy parameters in a small chemical company, Journal of the Operational Research Society, 54, 350, 10.1057/palgrave.jors.2601530
Gardner, 1983, Automatic monitoring of forecast errors, Journal of Forecasting, 2, 1, 10.1002/for.3980020103
Gardner, 1985, Exponential smoothing: The state of the art, Journal of Forecasting, 4, 1, 10.1002/for.3980040103
Gardner, 1988, A simple method of computing prediction intervals for time series forecasts, Management Science, 34, 541, 10.1287/mnsc.34.4.541
Gardner, 1990, Evaluating forecast performance in an inventory control system, Management Science, 36, 490, 10.1287/mnsc.36.4.490
Gardner, 1993, Forecasting the failure of component parts in computer systems: A case study, International Journal of Forecasting, 9, 245, 10.1016/0169-2070(93)90008-B
Gardner, 1999, Note: Rule-based forecasting vs. damped-trend exponential smoothing, Management Science, 45, 1169, 10.1287/mnsc.45.8.1169
Gardner, 1997, Focus forecasting reconsidered, International Journal of Forecasting, 13, 501, 10.1016/S0169-2070(97)00035-6
Gardner, 2001, Further results on focus forecasting vs. exponential smoothing, International Journal of Forecasting, 17, 287, 10.1016/S0169-2070(00)00098-4
Gardner, 2002, Seasonal adjustment of inventory demand series: A case study, International Journal of Forecasting, 18, 117, 10.1016/S0169-2070(01)00108-X
Gardner, 2005, Comments on a patented forecasting method for intermittent demand, International Journal of Forecasting, 21, 617, 10.1016/j.ijforecast.2005.04.021
Gardner, 1985, Forecasting trends in time series, Management Science, 31, 1237, 10.1287/mnsc.31.10.1237
Gardner, 1988, Model identification in exponential smoothing, Journal of the Operational Research Society, 39, 863, 10.1057/jors.1988.146
Gardner, 1989, Seasonal exponential smoothing with damped trends, Management Science, 35, 372, 10.1287/mnsc.35.3.372
2000
Geriner, 1991, Automatic forecasting using explanatory variables: A comparative study, International Journal of Forecasting, 7, 127, 10.1016/0169-2070(91)90047-Y
Geurts, 1986, Forecasting retail sales using alternative models, International Journal of Forecasting, 2, 261, 10.1016/0169-2070(86)90046-4
Gijbels, 1999, Understanding exponential smoothing via kernel regression, Journal of the Royal Statistical Society. Series B, 61, 39, 10.1111/1467-9868.00161
Gilchrist, 1976
Gorr, 2003, Short-term forecasting of crime, International Journal of Forecasting, 19, 579, 10.1016/S0169-2070(03)00092-X
Grubb, 2001, Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend, International Journal of Forecasting, 17, 71, 10.1016/S0169-2070(00)00053-4
Harrison, 1967, Exponential smoothing and short-term sales forecasting, Management Science, 13, 821, 10.1287/mnsc.13.11.821
Harvey, 1984, A unified view of statistical forecasting procedures, Journal of Forecasting, 3, 245, 10.1002/for.3980030302
Harvey, 1986, Analysis and generalisation of a multivariate exponential smoothing model, Management Science, 32, 374, 10.1287/mnsc.32.3.374
Harvey, 2000, Signal extraction and the formulation of unobserved components models, Econometrics Journal, 3, 84, 10.1111/1368-423X.00040
Harvey, 1990, Structural time series models in inventory control, International Journal of Forecasting, 6, 187, 10.1016/0169-2070(90)90004-U
Heuts, 1988, Forecasting the Dutch heavy truck market: A multivariate approach, International Journal of Forecasting, 4, 57, 10.1016/0169-2070(88)90010-6
Hill, 1992, Modelling intra-city time-dependent travel speeds for vehicle scheduling problems, Journal of the Operational Research Society, 43, 343, 10.1057/jors.1992.49
Holmes, 1986, Leading indicators of industrial employment in British Columbia, International Journal of Forecasting, 2, 87, 10.1016/0169-2070(86)90032-4
Holt, 1957, Forecasting seasonals and trends by exponentially weighted moving averages, vol. 52
Holt, 2004, Forecasting seasonals and trends by exponentially weighted moving averages, International Journal of Forecasting, 20, 5, 10.1016/j.ijforecast.2003.09.015
Holt, 2004, Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’, International Journal of Forecasting, 20, 11, 10.1016/j.ijforecast.2003.09.017
Holt, 1960
Huss, 1985, Comparative analysis of company forecasts and advanced time series techniques using annual electric utility energy sales data, International Journal of Forecasting, 1, 217, 10.1016/0169-2070(85)90004-4
Huss, 1985, Comparative analysis of load forecasting techniques at a southern utility, Journal of Forecasting, 4, 99, 10.1002/for.3980040113
Hyndman, 2001, It's time to move from ‘what’ to ‘why’, International Journal of Forecasting, 17, 567
Hyndman, 2003, Unmasking the Theta method, International Journal of Forecasting, 19, 287, 10.1016/S0169-2070(01)00143-1
Hyndman, 2002, A state space framework for automatic forecasting using exponential smoothing methods, International Journal of Forecasting, 18, 439, 10.1016/S0169-2070(01)00110-8
Hyndman, R. J., Akram, M., & Archibald, B. (2005). The admissible parameter space for exponential smoothing models, Working paper. Department of Econometrics and Business Statistics, Monash University, VIC 3800, Australia.
Hyndman, 2005, Prediction intervals for exponential smoothing using two new classes of state space models, Journal of Forecasting, 24, 17, 10.1002/for.938
Johnston, 1993, Exponentially weighted moving average (EWMA) with irregular updating periods, Journal of the Operational Research Society, 44, 711, 10.1057/jors.1993.120
Johnston, 2000, Viewpoint: Lead time demand adjustments or when a model is not a model, Journal of the Operational Research Society, 51, 1107
Johnston, 1994, How far ahead can an EWMA model be extrapolated?, Journal of the Operational Research Society, 45, 710, 10.1057/jors.1994.108
Johnston, 1996, Forecasting for items with intermittent demand, Journal of the Operational Research Society, 47, 113, 10.1057/jors.1996.10
Johnston, 1996, Forecasting intermittent demand: A comparative evaluation of Croston's method. Comment, International Journal of Forecasting, 12, 297, 10.1016/0169-2070(95)00642-7
Johnston, 1986, The variance of lead-time demand, Journal of the Operational Research Society, 37, 303, 10.1057/jors.1986.48
Jones, 1966, Exponential smoothing for multivariate time series, Journal of the Royal Statistical Society. Series B, 28, 241
Jun, 1989, On detecting and estimating a major level or slope change in general exponential smoothing, Journal of Forecasting, 8, 55, 10.1002/for.3980080105
Jun, 1985, Bayesian forecasts following a major level change in exponential smoothing, Journal of Forecasting, 4, 293, 10.1002/for.3980040306
Kirkendall, 1992, Monitoring for outliers and level shifts in Kalman Filter implementations of exponential smoothing, Journal of Forecasting, 11, 543, 10.1002/for.3980110604
Koehler, 1985, Simple vs. complex extrapolation models, International Journal of Forecasting, 1, 63, 10.1016/S0169-2070(85)80071-6
Koehler, 1990, An inappropriate prediction interval, International Journal of Forecasting, 6, 557, 10.1016/0169-2070(90)90034-9
Koehler, 1988, A comparison of results from state space forecasting with forecasts from the Makridakis competition, International Journal of Forecasting, 4, 45, 10.1016/0169-2070(88)90009-X
Koehler, 2001, Forecasting models and prediction intervals for the multiplicative Holt–Winters method, International Journal of Forecasting, 17, 269, 10.1016/S0169-2070(01)00081-4
Lawton, 1998, How should additive Holt–Winters estimates be corrected?, International Journal of Forecasting, 14, 393, 10.1016/S0169-2070(98)00040-5
Lee, 1993, The effects of forecasting errors on the total cost of operations, Omega, 21, 541, 10.1016/0305-0483(93)90022-D
Lee, 1992, Applying contemporary forecasting and computer technology for competitive advantage in service operations, International Journal of Operations and Production Management, 12, 28, 10.1108/01443579210011390
Leung, 2000, Forecasting stock indices: A comparison of classification and level estimation models, International Journal of Forecasting, 16, 173, 10.1016/S0169-2070(99)00048-5
Levén, 2004, Inventory control with a modified Croston procedure and Erlang distribution, International Journal of Production Economics, 90, 361, 10.1016/S0925-5273(03)00053-7
Lin, 1989, Modeling and forecasting hospital patient movements: Univariate and multiple time series approaches, International Journal of Forecasting, 5, 195, 10.1016/0169-2070(89)90087-3
Mahmoud, 1990, Forecasting US exports: An illustration using time series and econometric models, Omega, 18, 375, 10.1016/0305-0483(90)90027-7
Mahmoud, 1990, An approach for selecting times series forecasting models, International Journal of Operations and Production Management, 10, 50, 10.1108/01443579010003003
Makridakis, 1982, The accuracy of extrapolation (time series) methods: Results of a forecasting competition, Journal of Forecasting, 1, 111, 10.1002/for.3980010202
Makridakis, 1993, The M2-competition: A real-time judgmentally based forecasting study, International Journal of Forecasting, 9, 5, 10.1016/0169-2070(93)90044-N
Makridakis, 1991, Exponential smoothing: The effect of initial values and loss functions on post-sample forecasting accuracy, International Journal of Forecasting, 7, 317, 10.1016/0169-2070(91)90005-G
Makridakis, 2000, The M3-competition: Results, conclusions and implications, International Journal of Forecasting, 16, 451, 10.1016/S0169-2070(00)00057-1
Martin, 1989, Forecasting tourism demand: A comparison of the accuracy of several quantitative methods, International Journal of Forecasting, 5, 7, 10.1016/0169-2070(89)90059-9
Masuda, 1999, Dynamic pricing for network service: Equilibrium and stability, Management Science, 45, 857, 10.1287/mnsc.45.6.857
Mathews, 1994, Towards a taxonomy of forecast error measures: A factor-comparative investigation of forecast error dimensions, Journal of Forecasting, 13, 409, 10.1002/for.3980130406
McClain, 1974, Dynamics of exponential smoothing with trend and seasonal terms, Management Science, 20, 1300, 10.1287/mnsc.20.9.1300
McClain, 1973, Response-variance tradeoffs in adaptive forecasting, Operations Research, 21, 554, 10.1287/opre.21.2.554
McKenzie, 1986, Error analysis for Winters' additive seasonal forecasting system, International Journal of Forecasting, 2, 373, 10.1016/0169-2070(86)90055-5
Meade, 2000, Evidence for the selection of forecasting methods, Journal of Forecasting, 19, 515, 10.1002/1099-131X(200011)19:6<515::AID-FOR754>3.0.CO;2-7
Mentzer, 1988, Forecasting with adaptive extended exponential smoothing, Journal of the Academy of Marketing Science, 16, 62, 10.1007/BF02723361
Mentzer, 1994, Further extensions of adaptive extended exponential smoothing and comparison with the M-competition, Journal of the Academy of Marketing Science, 22, 372, 10.1177/0092070394224006
Mercer, 1996, Alternative inventory and distribution policies of a food manufacturer, Journal of the Operational Research Society, 47, 755, 10.1057/jors.1996.96
Miller, 1993, Seasonal exponential smoothing with damped trends: An application for production planning, International Journal of Forecasting, 9, 509, 10.1016/0169-2070(93)90077-Z
Muth, 1960, Optimal properties of exponentially weighted forecasts, Journal of the American Statistical Association, 55, 299, 10.1080/01621459.1960.10482064
Nerlove, 1964, On the optimality of adaptive forecasting, Management Science, 10, 207, 10.1287/mnsc.10.2.207
Newbold, 1988, Predictors projecting linear trend plus seasonal dummies, Journal of the Royal Statistical Society. Series D, 37, 111
Newbold, 1989, On exponential smoothing and the assumption of deterministic trend plus white noise data-generating models, International Journal of Forecasting, 5, 523, 10.1016/0169-2070(89)90007-1
Öller, 1986, A note on exponentially smoothed seasonal differences, Journal of Business and Economic Statistics, 4, 485
Ord, 2004, Charles Holt's report on exponentially weighted moving averages: An introduction and appreciation, International Journal of Forecasting, 20, 1, 10.1016/j.ijforecast.2003.09.016
Ord, 1997, Estimation and prediction for a class of dynamic nonlinear statistical models, Journal of the American Statistical Association, 92, 1621, 10.1080/01621459.1997.10473684
Ord, J. K., Snyder, R. D., Koehler, A. B., Hyndman, R. J., & Leeds, M. (2005). Time series forecasting: The case for the single source of error state space approach, Working paper, Department of Econometrics and Business Statistics, Monash University, VIC 3800, Australia.
Pandit, 1974, Exponential smoothing as a special case of a linear stochastic system, Operations Research, 22, 868, 10.1287/opre.22.4.868
Pandit, 1983
Pantazopoulos, 1996, A new adaptive method for extrapolative forecasting algorithms, European Journal of Operational Research, 94, 106, 10.1016/0377-2217(95)00195-6
Pegels, 1969, Exponential forecasting: Some new variations, Management Science, 15, 311, 10.1287/mnsc.15.5.311
Pfeffermann, 1989, Multivariate exponential smoothing: Method and practice, International Journal of Forecasting, 5, 83, 10.1016/0169-2070(89)90066-6
Price, 1986, A comparison of the performance of different univariate forecasting methods in a model of capacity acquisition in UK electricity supply, International Journal of Forecasting, 2, 333, 10.1016/0169-2070(86)90052-X
Proietti, 1998, Seasonal heteroscedasticity and trends, Journal of Forecasting, 17, 1, 10.1002/(SICI)1099-131X(199801)17:1<1::AID-FOR675>3.0.CO;2-G
Proietti, 2000, Comparing seasonal components for structural time series models, International Journal of Forecasting, 16, 247, 10.1016/S0169-2070(00)00037-6
Ramanathan, 1997, Short-run forecasts of electricity loads and peaks, International Journal of Forecasting, 13, 161, 10.1016/S0169-2070(97)00015-0
Rao, 1973, A comment on Forecasting and stock control for intermittent demands, Operational Research Quarterly, 24, 639, 10.1057/jors.1973.120
Rasmussen, 2004, On time series data and optimal parameters, Omega, 32, 111, 10.1016/j.omega.2003.09.013
Roberts, 1982, A general class of Holt–Winters type forecasting models, Management Science, 28, 808, 10.1287/mnsc.28.7.808
Rosanna, 1995, Temporal aggregation and economic time series, Journal of Business and Economic Statistics, 13, 441
Rosas, 1994, Restricted forecasts using exponential smoothing techniques, International Journal of Forecasting, 10, 515, 10.1016/0169-2070(94)90020-5
Samuelson, 1999, Predictive dialing for outbound telephone call centers, Interfaces, 29, 66, 10.1287/inte.29.5.66
Sani, 1997, Selecting the best periodic inventory control and demand forecasting methods for low demand items, Journal of the Operational Research Society, 48, 700, 10.1057/palgrave.jors.2600418
Satchell, 1995, On the optimality of adaptive expectations: Muth revisited, International Journal of Forecasting, 11, 407, 10.1016/0169-2070(95)00588-7
Schnaars, 1986, A comparison of extrapolation models on yearly sales forecasts, International Journal of Forecasting, 2, 71, 10.1016/0169-2070(86)90031-2
Schwarz, 1978, Estimating the dimension of a model, The Annals of Statistics, 6, 461, 10.1214/aos/1176344136
Segura, 2001, A spreadsheet modeling approach to the Holt–Winters optimal forecasting, European Journal of Operational Research, 131, 375, 10.1016/S0377-2217(00)00062-X
Shah, 1997, Model selection in univariate time series forecasting using discriminant analysis, International Journal of Forecasting, 13, 489, 10.1016/S0169-2070(97)00031-9
Sharda, 1986, Financial futures hedging via goal programming, Management Science, 32, 933, 10.1287/mnsc.32.8.933
Sharp, 1990, Experience curve models in the electricity supply industry, International Journal of Forecasting, 6, 531, 10.1016/0169-2070(90)90031-6
Shenstone, 2005, Stochastic models underlying Croston's method for intermittent demand forecasting, Journal of Forecasting, 24, 389, 10.1002/for.963
Shoesmith, 2001, Potential inventory cost reductions using advanced time series forecasting techniques, Journal of the Operational Research Society, 52, 1267, 10.1057/palgrave.jors.2601230
Snyder, 1985, Recursive estimation of dynamic linear models, Journal of the Royal Statistical Society. Series B, 47, 272
Snyder, 1988, Progressive tuning of simple exponential smoothing forecasts, Journal of the Operational Research Society, 39, 393, 10.1057/jors.1988.67
Snyder, 1993, A computerised system for forecasting spare parts sales: A case study, International Journal of Operations and Production Management, 13, 83, 10.1108/01443579310038732
Snyder, 2002, Forecasting sales of slow and fast moving inventories, European Journal of Operational Research, 140, 684, 10.1016/S0377-2217(01)00231-4
Snyder, 2004, Exponential smoothing models: Means and variances for lead-time demand, European Journal of Operational Research, 158, 444, 10.1016/S0377-2217(03)00360-6
Snyder, 1999, Lead time demand for simple exponential smoothing: An adjustment factor for the standard deviation, Journal of the Operational Research Society, 50, 1079, 10.1057/palgrave.jors.2600806
Snyder, 2000, Viewpoint: A reply to Johnston, Journal of the Operational Research Society, 51, 1108, 10.2307/254233
Snyder, 2002, Forecasting for inventory control with exponential smoothing, International Journal of Forecasting, 18, 5, 10.1016/S0169-2070(01)00109-1
Snyder, 2001, Prediction intervals for ARIMA models, Journal of Business and Economic Statistics, 19, 217, 10.1198/073500101316970430
Snyder, 2001, Exponential smoothing of seasonal data: A comparison, Journal of Forecasting, 20, 197, 10.1002/1099-131X(200104)20:3<197::AID-FOR789>3.0.CO;2-L
Strijbosch, 2000, A combined forecast-inventory control procedure for spare parts, Journal of the Operational Research Society, 51, 1184
Sweet, 1985, Computing the variance of the forecast error for the Holt–Winters seasonal models, Journal of Forecasting, 4, 235, 10.1002/for.3980040210
Syntetos, 2001, On the bias of intermittent demand estimates, International Journal of Production Economics, 71, 457, 10.1016/S0925-5273(00)00143-2
Syntetos, 2005, The accuracy of intermittent demand estimates, International Journal of Forecasting, 21, 303, 10.1016/j.ijforecast.2004.10.001
Syntetos, 2005, On the categorization of demand patterns, Journal of the Operational Research Society, 56, 495, 10.1057/palgrave.jors.2601841
Tashman, 1996, The use of protocols to select exponential smoothing procedures: A reconsideration of forecasting competitions, International Journal of Forecasting, 12, 235, 10.1016/0169-2070(95)00645-1
Tashman, 2000, Out-of-sample tests of forecasting accuracy: An analysis and review, International Journal of Forecasting, 16, 437, 10.1016/S0169-2070(00)00065-0
Taylor, 2003, Exponential smoothing with a damped multiplicative trend, International Journal of Forecasting, 19, 715, 10.1016/S0169-2070(03)00003-7
Taylor, 2003, Short-term electricity demand forecasting using double seasonal exponential smoothing, Journal of the Operational Research Society, 54, 799, 10.1057/palgrave.jors.2601589
Taylor, 2004, Volatility forecasting with smooth transition exponential smoothing, International Journal of Forecasting, 20, 273, 10.1016/j.ijforecast.2003.09.010
Taylor, 2004, Smooth transition exponential smoothing, Journal of Forecasting, 23, 385, 10.1002/for.918
Taylor, J. W. (2004c). Forecasting supermarket sales with exponentially weighted quantile regression, Working paper. Said Business School, University of Oxford, Park End St., Oxford OX1 1HP, UK.
Taylor, 1999, A quantile regression approach to generating prediction intervals, Management Science, 45, 225, 10.1287/mnsc.45.2.225
Theil, 1964, Some observations on adaptive forecasting, Management Science, 10, 198, 10.1287/mnsc.10.2.198
Thomas, 1993, Method and situational factors in sales forecast accuracy, Journal of Forecasting, 12, 69, 10.1002/for.3980120107
Thury, 1985, Macroeconomic forecasting in Austria: An analysis of accuracy, International Journal of Forecasting, 1, 111, 10.1016/0169-2070(85)90016-0
Tiao, 1993, Robustness of maximum likelihood estimates for multi-step predictions: The exponential smoothing case, Biometrika, 80, 623, 10.1093/biomet/80.3.623
Vokurka, 1996, Automatic feature identification and graphical support in rule-based forecasting: A comparison, International Journal of Forecasting, 12, 495, 10.1016/S0169-2070(96)00682-6
Walton, 1994, Inventory control—A soft approach?, Journal of the Operational Research Society, 45, 485, 10.1057/jors.1994.72
Weatherford, 2003, A comparison of forecasting methods for hotel revenue management, International Journal of Forecasting, 19, 401, 10.1016/S0169-2070(02)00011-0
Weintraub, 1999, An emergency vehicle dispatching system for an electric utility in Chile, Journal of the Operational Research Society, 50, 690, 10.1057/palgrave.jors.2600746
Willemain, 2004, A new approach to forecasting intermittent demand for service parts inventories, International Journal of Forecasting, 20, 375, 10.1016/S0169-2070(03)00013-X
Willemain, 1994, Forecasting intermittent demand in manufacturing: A comparative evaluation of Croston's method, International Journal of Forecasting, 10, 529, 10.1016/0169-2070(94)90021-3
Williams, 1999, Level-adjusted exponential smoothing for modeling planned discontinuities, International Journal of Forecasting, 15, 273, 10.1016/S0169-2070(98)00083-1
Williams, 1987, Adaptive Holt–Winters forecasting, Journal of the Operational Research Society, 38, 553, 10.2307/2582769
Winters, 1960, Forecasting sales by exponentially weighted moving averages, Management Science, 6, 324, 10.1287/mnsc.6.3.324
Wright, 1986, Forecasting data published at irregular time intervals using an extension of Holt's method, Management Science, 32, 499, 10.1287/mnsc.32.4.499
Wright, 1986, Forecasting irregularly spaced data: An extension of double exponential smoothing, Computers & Industrial Engineering, 10, 135, 10.1016/0360-8352(86)90035-5
Wu, 1991, Forecasting for business planning: A case study of IBM product sales, Journal of Forecasting, 10, 579, 10.1002/for.3980100604
Yar, 1990, Prediction intervals for the Holt–Winters forecasting procedure, International Journal of Forecasting, 6, 127, 10.1016/0169-2070(90)90103-I
Zhang, 2004, The impact of forecasting methods on the bullwhip effect, International Journal of Production Economics, 88, 15, 10.1016/S0925-5273(03)00128-2
Zhao, 2002, The impact of forecasting model selection on the value of information sharing in a supply chain, European Journal of Operational Research, 142, 321, 10.1016/S0377-2217(01)00300-9
