Bayesian forecasting of parts demand

[1]  John K Kruschke,et al.  Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[2]  Joseph Hilbe,et al.  Data Analysis Using Regression and Multilevel/Hierarchical Models , 2009 .

[3]  Phillip M. Yelland,et al.  Bayesian Forecasting for Low Count Time Series Using State-Space Models: An Empirical Evaluation for Inventory Management , 2009 .

[4]  Rob J Hyndman,et al.  Automatic Time Series Forecasting: The forecast Package for R , 2008 .

[5]  Rob J Hyndman,et al.  Forecasting with Exponential Smoothing: The State Space Approach , 2008 .

[6]  Torsten Hothorn,et al.  Exploratory and Inferential Analysis of Benchmark Experiments , 2008 .

[7]  Dongchu Sun,et al.  Objective priors for the bivariate normal model , 2008, 0804.0987.

[8]  Na Li,et al.  Simple Parallel Statistical Computing in R , 2007 .

[9]  Herman Stekler.  Significance tests harm progress in forecasting: Comment , 2007 .

[10]  J. Armstrong.  Significance Tests Harm Progress in Forecasting , 2007 .

[11]  D. Swanson,et al.  On MAPE-R as a measure of cross-sectional estimation and forecast accuracy 1 , 2007 .

[12]  E. S. Gardner.  EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II , 2006 .

[13]  Rob J Hyndman,et al.  Another look at measures of forecast accuracy , 2006 .

[14]  P. Gustafson,et al.  Conservative prior distributions for variance parameters in hierarchical models , 2006 .

[15]  Evolution of the Forecasting Function , 2006 .

[16]  Rob J Hyndman,et al.  Stochastic models underlying Croston's method for intermittent demand forecasting , 2005 .

[17]  Kesten C. Green,et al.  Demand Forecasting: Evidence-Based Methods , 2005 .

[18]  Melvin J. Hinich,et al.  Time Series Analysis by State Space Methods , 2001 .

[19]  Philip Hans Franses,et al.  The M3 competition: Statistical tests of the results , 2005 .

[20]  P. Hansen.  A Test for Superior Predictive Ability , 2005 .

[21]  Gael M. Martin,et al.  Bayesian predictions of low count time series , 2005 .

[22]  Kenneth Gilbert,et al.  An ARIMA Supply Chain Model , 2005, Manag. Sci..

[23]  John E. Boylan.  Intermittent and Lumpy Demand: A Forecasting Challenge , 2005 .

[24]  James R. Evans,et al.  Principles of Operations Management , 2005 .

[25]  Ton G. de Kok,et al.  Philips Electronics Synchronizes Its Supply Chain to End the Bullwhip Effect , 2005, Interfaces.

[26]  Christian P. Robert,et al.  Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.

[27]  R. Becker,et al.  Contemporary Issues In Economics And Econometrics: Theory and Application , 2004 .

[28]  William N. Venables,et al.  An Introduction To R , 2004 .

[29]  Sylvia Kaufmann,et al.  Model-Based Clustering of Multiple Time Series , 2004 .

[30]  A. Gelman.  Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) , 2004 .

[31]  Phillip M. Yelland,et al.  A model of the product lifecycle for sales forecasting , 2004 .

[32]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[33]  Nada R. Sanders,et al.  Forecasting Software in Practice: Use, Satisfaction, and Performance , 2003, Interfaces.

[34]  Halbert White,et al.  Tests of Conditional Predictive Ability , 2003 .

[35]  Richard A. Ashley,et al.  Statistically significant forecasting improvements: how much out-of-sample data is likely necessary? ☆ , 2003 .

[36]  Yossi Aviv,et al.  A Time-Series Framework for Supply-Chain Inventory Management , 2003, Oper. Res..

[37]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[38]  Hisashi Tanizaki,et al.  Note on the Sampling Distribution for the Metropolis-Hastings Algorithm , 2003 .

[39]  Peter Congdon,et al.  Applied Bayesian Modelling , 2003 .

[40]  Peter E. Rossi,et al.  Bayesian Statistics and Marketing , 2005 .

[41]  William E. Griffiths,et al.  A Gibbs’ Sampler for the Parameters of a Truncated Multivariate Normal Distribution , 2002 .

[42]  Peter S. Fader,et al.  Fast-Track: Article Using Advance Purchase Orders to Forecast New Product Sales , 2002 .

[43]  Rob J Hyndman,et al.  A state space framework for automatic forecasting using exponential smoothing methods , 2002 .

[44]  Anne B. Koehler,et al.  Forecasting for Inventory Control with Exponential Smoothing , 2002 .

[45]  Robert D. Klassen,et al.  Forecasting practices of Canadian firms: Survey results and comparisons , 2001 .

[46]  George T. Duncan,et al.  Forecasting Analogous Time Series , 2001 .

[47]  J. Scott Armstrong,et al.  Principles of forecasting : a handbook for researchers and practitioners , 2001 .

[48]  H. White,et al.  A Reality Check for Data Snooping , 2000 .

[49]  Simon Jackman,et al.  Estimation and Inference Are Missing Data Problems: Unifying Social Science Statistics via Bayesian Simulation , 2000, Political Analysis.

[50]  Denis Royston Towill,et al.  Coping with Uncertainty: Reducing “Bullwhip” Behaviour in Global Supply Chains , 2000 .

[51]  Paul Newbold,et al.  Testing the equality of prediction mean squared errors , 1997 .

[52]  Michael A. West,et al.  Bayesian Forecasting and Dynamic Models (2nd edn) , 1997, J. Oper. Res. Soc..

[53]  Peter Green,et al.  Markov chain Monte Carlo in Practice , 1996 .

[54]  M. Lawera.  Predictive inference : an introduction , 1995 .

[55]  Seymour Geisser,et al.  8. Predictive Inference: An Introduction , 1995 .

[56]  Walter R. Gilks,et al.  BUGS - Bayesian inference Using Gibbs Sampling Version 0.50 , 1995 .

[57]  Joel D. Wisner,et al.  Forecasting practices of JIT and non-JIT purchasers , 1994 .

[58]  R. Kohn,et al.  On Gibbs sampling for state space models , 1994 .

[59]  Wray L. Buntine.  Operations for Learning with Graphical Models , 1994, J. Artif. Intell. Res..

[60]  N. Sanders,et al.  Forecasting Practices in US Corporations: Survey Results , 1994 .

[61]  S. Frühwirth-Schnatter.  Data Augmentation and Dynamic Linear Models , 1994 .

[62]  James D. Hamilton.  Time Series Analysis , 1994 .

[63]  Spyros Makridakis,et al.  Accuracy measures: theoretical and practical concerns☆ , 1993 .

[64]  Vijay Mahajan,et al.  Chapter 8 New-product diffusion models , 1993, Marketing.

[65]  Robert Fildes,et al.  The evaluation of extrapolative forecasting methods , 1992 .

[66]  Patrick A. Thompson,et al.  A statistician in search of a population , 1992 .

[67]  Fred L. Collopy,et al.  Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons , 1992 .

[68]  Daniel Roos,et al.  The machine that changed the world : the story of lean production , 1991 .

[69]  Ralph D. Snyder,et al.  Structural time series models in inventory control , 1990 .

[70]  Jr. Everette S. Gardner,et al.  Evaluating forecast performance in an inventory control system , 1990 .

[71]  F. Bass,et al.  A diffusion theory model of adoption and substitution for successive generations of high-technology products , 1987 .

[72]  Douglas J. Dalrymple.  Sales forecasting practices: Results from a United States survey , 1987 .

[73]  Charlotte H. Mason,et al.  Technical Note---Nonlinear Least Squares Estimation of New Product Diffusion Models , 1986 .

[74]  Everette S. Gardner,et al.  Exponential smoothing: The state of the art , 1985 .

[75]  S. Taylor.  Forecasting Economic Time Series , 1979 .

[76]  D. Wolfe,et al.  Nonparametric Statistical Methods. , 1974 .

[77]  W. A. Thompson,et al.  Rank sum multiple comparisons in one- and two-way classifications. , 1972, Biometrika.

[78]  A. F. Veinott.  Optimal Policy for a Multi-product, Dynamic Non-Stationary Inventory Problem , 1965 .

[79]  David R. Cox,et al.  A Remark on Multiple Comparison Methods , 1965 .

[80]  R. Brown.  Statistical forecasting for inventory control , 1960 .

[81]  S. Karlin,et al.  Studies in the Mathematical Theory of Inventory and Production, by K.J. Arrow, S. Karlin, H. Scarf with contributions by M.J. Beckmann, J. Gessford, R.F. Muth. Stanford, California, Stanford University Press, 1958, X p.340p., $ 8.75. , 1959, Bulletin de l'Institut de recherches économiques et sociales.

[82]  S. Vaida,et al.  Studies in the Mathematical Theory of Inventory and Production , 1958 .

[83]  F. Wilcoxon.  Individual Comparisons by Ranking Methods , 1945 .

[84]  M. Friedman.  A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .

[85]  M. Kendall,et al.  The Problem of $m$ Rankings , 1939 .

[86]  James O. Berger,et al.  Objective Priors for the Multivariate Normal Model , 2022 .