Simplified forecasting by polynomial regression with equally spaced values of the independent variable
Jack Laderman and Julian D. Laderman
Math. Comp. 38 (1982), 601-610
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.
C. P. Miller, L.
Rosenhead, and L.
J. Comrie, An index of mathematical tables. Vol. I: Introduction.
Part I: Index according to functions, Second edition, Published for
Scientific Computing Service Ltd., London, by Addison-Wesley Publishing
Co., Inc., Reading, Mass., 1962. MR 0142796
Laderman, The square root method for solving
simultaneous linear equations, Math. Tables and
Other Aids to Computation 3 (1948), 13–16. MR 0025263
Singer, Elements of numerical analysis, Academic Press
Textbooks in Mathematics, Academic Press, New York, 1964. MR 0165652
- A. Fletcher, J. C. P. Miller, L. Rosenhead & L. J. Comrie, An Index of Mathematical Tables, Vol. 1, 2nd ed., Addison-Wesley, Reading, Mass., 1962, pp. 594-596. MR 0142796 (26:365a)
- Jack Laderman, "The square root method for solving simultaneous linear equations," MTAC, v. 3, 1948, pp. 13-16. MR 0025263 (9:622b)
- James Singer, Elements of Numerical Analysis, Academic Press, New York, 1964, p. 99. MR 0165652 (29:2932)
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Forecasting by least squares,
matrix inversion by the square root method
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