Accuracy of Forecasting: An Empirical Investigation

By Spyros Makridakis, M. Hibon. 1979

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Citations in the corpus

Reproducibility in forecasting research (2015, unknown): “Team B, on the other hand, had no problem identifying the 55 series under concern using only the information provided in the original paper (bearing in mind that the 111 M-competition series are publicly available).”
Forecasting model selection through out-of-sample rolling horizon weighted errors (2011, background): “Other studies on the levels of accuracy of forecasting models may be consulted at Reid (1975), Newbold & Granger (1974), Makridakis & Hibon (1979), (Makridakis et al., 1982), (Makridakis et al., 1993).”
Predicting Wimbledon 2005 tennis results by mere player name recognition (2007, unknown): “Along the same lines, Spyros Makridakis and his colleagues (Fildes & Makridakis, 1995; Makridakis & Hibon, 1979, 2000; Makridakis et al., 1982, 1993) showed in a series of studies (the so-called M-competitions) that for predicting real-life time series, simple models lead to more accurate forecasts…”
Fast and frugal forecasting (2009, methodology): “We draw from research on the adaptive toolbox and ecological rationality to demonstrate the power of using intuitive heuristics for forecasting in various domains including sport, business, and crime. c© 2009 International Institute of Forecasters.”
Extrapolation for Time-Series and Cross-Sectional Data (2009, unknown): “The poor accuracy of Box-Jenkins procedures has been demonstrated in various comparative studies ( Makridakis and Hibon 1979, and Makridakis et al. 1982, 1984, 1993).”
Combining forecasts: A review and annotated bibliography (1989, unknown): “The relative performance of a number of forecasting techniques was examined in a series of three empirical studies: Newbold and Granger (1974) Makridakis and Hibon (1979) and Makridakis et al. (1982, 1983).”
'Horses for Courses' in demand forecasting (2014, background): “As early as the late 1960s and most of the 1970s, several researchers (Kirby, 1966; Levine, 1967; Cooper, 1972; Naylor and Seaks, 1972; Krampf, 1972; Groff, 1973; Newbold and Granger, 1974; Makridakis and Hibon, 1979) sought to determine the accuracy of various forecasting methods in order to select”
Making and Evaluating Point Forecasts (2009, background): “…focus is on the comparison of custom-built predictive models for a specific purpose, as opposed to the Mcompetitions in the forecasting literature (Makridakis and Hibon 1979, 2000; Makridakis et al. 1982, 1993), which compare the predictive performance of point forecasting methods across…”