Prediction intervals for growth curve forecasts
Article Abstract:
Most studies on growth curve forecastings have concentrated on point forecasts via trend extrapolation, rather than on the quantification of the uncertainty inherent in growth curve forecasts. Many reasons have been advanced to explain this reluctance on the part of researchers to quantify uncertainty in growth curve forecasts. However, uncertainty in growth curve forecasts can be done through prediction intervals.
Publication Name: Journal of Forecasting
Subject: Mathematics
ISSN: 0277-6693
Year: 1995
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Evidence for the Selection of Forecasting Methods
Article Abstract:
Data from nine different forecasting methods were studied for the purpose of determining whether a choice forecasting method could be proposed from them. The study came up with a selection of a good forecasting method(s) but not necessarily the best.
Publication Name: Journal of Forecasting
Subject: Mathematics
ISSN: 0277-6693
Year: 2000
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Order series method for forecasting non-Gaussian time series
Article Abstract:
The applicability of a new non-Gaussian time series method to develop autoregressive moving average models of order series transformation and nonlinear instantaneous transformation, during the forecasting of business trends is discussed.
Publication Name: Journal of Forecasting
Subject: Mathematics
ISSN: 0277-6693
Year: 2007
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