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Mathematics of Computation

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Simplified forecasting by polynomial regression with equally spaced values of the independent variable

Authors: Jack Laderman and Julian D. Laderman
Journal: Math. Comp. 38 (1982), 601-610
MSC: Primary 62J02; Secondary 65U05
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Abstract: A method is developed and tables are presented which yield polynomial least squares forecasts by computing the inner product of two n-component vectors, where n is the number of observed points.

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Keywords: Forecasting by least squares, finite differences, matrix inversion by the square root method
Article copyright: © Copyright 1982 American Mathematical Society