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References

Akaike, H. 1974. “A new look at the statistical model identification.” IEEE Transactions on Automatic Control 19 (6): 716–23. doi:10.1109/TAC.1974.1100705.

Akram, Muhammad, Rob J. Hyndman, and J. Keith Ord. 2009. “Exponential Smoothing and Non-negative Data.” Australian & New Zealand Journal of Statistics 51 (4): 415–32. doi:10.1111/j.1467-842X.2009.00555.x.

Brenner, J L, D a. D’Esopo, and a. G Fowler. 1968. “Difference Equations in Forecasting Formulas.” Management Science 15 (3): 141–59. doi:10.1287/mnsc.15.3.141.

Brown, Robert G. 1956. “Exponential Smoothing for predicting demand.” Cambridge 42, Massachusetts: Arthur D. Little, Inc.

Burnham, Kenneth P, and David R Anderson. 2004. Model Selection and Multimodel Inference. Springer New York. doi:10.1007/b97636.

Davydenko, Andrey, and Robert Fildes. 2013. “Measuring Forecasting Accuracy: The Case of Judgmental Adjustments to SKU-Level Demand Forecasts.” International Journal of Forecasting 29 (3): 510–22. doi:10.1016/j.ijforecast.2012.09.002.

Gardner, Everette S. 1985. “Exponential smoothing: The state of the art.” Journal of Forecasting 4 (1): 1–28. doi:10.1002/for.3980040103.

———. 2006. “Exponential smoothing: The state of the art-Part II.” International Journal of Forecasting 22 (4): 637–66. doi:10.1016/j.ijforecast.2006.03.005.

Gardner, Everette S, and Joaquin Diaz-Saiz. 2008. “Exponential smoothing in the telecommunications data.” International Journal of Forecasting 24 (1): 170–74. doi:10.1016/j.ijforecast.2007.05.002.

Gardner, Everette S, and Ed McKenzie. 1985. “Forecasting trends in time series.” Management Science 31 (10): 1237–46. doi:10.1016/0169-2070(86)90056-7.

———. 1989. “Seasonal Exponential Smoothing with Damped Trends.” Management Science 35 (3): 372–76. doi:10.1287/mnsc.35.3.372.

Geraci, Marco, and Matteo Bottai. 2007. “Quantile regression for longitudinal data using the asymmetric Laplace distribution.” Biostatistics 8 (1): 140–54. doi:10.1093/biostatistics/kxj039.

Hanck, Christoph, Martin Arnold, Alexander Gerber, and Martin Schmelzer. 2020. “Introduction to Econometrics with R.” Bookdown. https://www.econometrics-with-r.org/index.html.

Holt, Charles C. 2004. “Forecasting seasonals and trends by exponentially weighted moving averages.” International Journal of Forecasting 20 (1): 5–10. doi:10.1016/j.ijforecast.2003.09.015.

Hyndman, Rob J, and Anne B Koehler. 2006. “Another look at measures of forecast accuracy.” International Journal of Forecasting 22 (4): 679–88. doi:10.1016/j.ijforecast.2006.03.001.

Hyndman, Rob J, Anne B Koehler, Ralph D Snyder, and Simone Grose. 2002. “A state space framework for automatic forecasting using exponential smoothing methods.” International Journal of Forecasting 18 (3): 439–54. doi:10.1016/S0169-2070(01)00110-8.

Hyndman, Rob J., and George Athanasopoulos. 2018. Forecasting: Principles and Practice, 2nd Edition. Accessed on 01.04.2020. OTexts: Melbourne, Australia. https://OTexts.com/fpp2.

Hyndman, Rob J., Anne B. Koehler, J. Keith Ord, and Ralph D. Snyder. 2008. Forecasting with Exponential Smoothing. Springer Berlin Heidelberg.

Kolassa, Stephan. 2016. “Evaluating predictive count data distributions in retail sales forecasting.” International Journal of Forecasting 32 (3): 788–803. doi:10.1016/j.ijforecast.2015.12.004.

McQuarrie, Allan D. 1999. “A small-sample correction for the Schwarz SIC model selection criterion.” Statistics {&} Probability Letters 44 (1): 79–86. doi:10.1016/S0167-7152(98)00294-6.

Muth, John F. 1960. “Optimal Properties of Exponentially Weighted Forecasts.” Journal of the American Statistical Association 55 (1): 299–306. doi:10.2307/2281742.

Nadarajah, Saralees. 2005. “A generalized normal distribution.” Journal of Applied Statistics 32 (7): 685–94. doi:10.1080/02664760500079464.

Pegels, C Carl. 1969. “Exponential Forecasting : Some New Variations.” Management Science 15 (5): 311–15. https://www.jstor.org/stable/2628137.

Petropoulos, Fotios, and Nikolaos Kourentzes. 2015. “Forecast combinations for intermittent demand.” Journal of the Operational Research Society 66 (6): 914–24. doi:10.1057/jors.2014.62.

Roberts, S. A. 1982. “A General Class of Holt-Winters Type Forecasting Models.” Management Science 28 (7): 808–20. doi:10.1287/mnsc.28.7.808.

Sangal, B.P., and Asit K. Biswas. 1970. “The 3-Parameter Lognormal Distribution Applications in Hydrology.” Water Resources Research 6 (2): 505–15. doi:10.1029/WR006i002p00505.

Schwarz, Gideon. 1978. “Estimating the Dimension of a Model.” The Annals of Statistics 6 (2): 461–64. doi:10.1214/aos/1176344136.

Snyder, Ralph D. 1985. “Recursive Estimation of Dynamic Linear Models.” Journal of the Royal Statistical Society, Series B (Methodological) 47 (2): 272–76. doi:10.1111/j.2517-6161.1985.tb01355.x.

Snyder, Ralph D., J. Keith Ord, Anne B. Koehler, Keith R. McLaren, and Adrian N. Beaumont. 2017. “Forecasting compositional time series: A state space approach.” International Journal of Forecasting 33 (2): 502–12. doi:10.1016/j.ijforecast.2016.11.008.

Sugiura, Nariaki. 1978. “Further analysis of the data by akaike’ s information criterion and the finite corrections.” Communications in Statistics - Theory and Methods 7 (1): 13–26. doi:10.1080/03610927808827599.

Svetunkov, Ivan. 2017. “Naughty Apes and the Quest for the Holy Grail.” Modern Forecasting. https://forecasting.svetunkov.ru/en/2017/07/29/naughty-apes-and-the-quest-for-the-holy-grail/.

———. 2019. “Are You Sure You’re Precise? Measuring Accuracy of Point Forecasts.” Modern Forecasting. https://forecasting.svetunkov.ru/en/2019/08/25/are-you-sure-youre-precise-measuring-accuracy-of-point-forecasts/.

———. 2020a. Greybox: Toolbox for Model Building and Forecasting. https://github.com/config-i1/greybox.

———. 2020b. Smooth: Forecasting Using State Space Models. https://github.com/config-i1/smooth.

Svetunkov, Ivan, and John E. Boylan. 2019. “Multiplicative State-Space Models for Intermittent Time Series.” Department of Management Science, Lancaster University. doi:10.13140/RG.2.2.35897.06242.

———. 2020. “Dealing with Positive Data Using Pure Multiplicative ETS Models.” Department of Management Science, Lancaster University.

Taylor, James W. 2003. “Exponential smoothing with a damped multiplicative trend.” International Journal of Forecasting 19 (4): 715–25. doi:10.1016/S0169-2070(03)00003-7.

Warren M. Persons. 1919. “General Considerations and Assumptions.” The Review of Economics and Statistics 1 (1): 5–107. doi:10.2307/1928754.

Wikipedia. 2020a. “Bias of Estimator: Sample Variance.” Wikipedia. https://en.wikipedia.org/wiki/Bias_of_an_estimator#Sample_variance.

———. 2020b. “Efficiency (Statistics): Asymptotic Efficiency.” Wikipedia. https://en.wikipedia.org/wiki/Efficiency_(statistics)#Asymptotic_efficiency.

———. 2020c. “Likelihood-Ratio Test.” Wikipedia. https://en.wikipedia.org/wiki/Likelihood-ratio_test.

Winters, P R. 1960. “Forecasting Sales by Exponentially Weighted Moving Averages.” Management Science 6 (3): 324–42. doi:10.1287/mnsc.6.3.324.

Yu, Keming, and Jin Zhang. 2005. “A three-parameter asymmetric laplace distribution and its extension.” Communications in Statistics - Theory and Methods 34 (9-10): 1867–79. doi:10.1080/03610920500199018.