Efficient, Nearly Optimal Nonlinear Scaling of Predictors for Statistical Forecast Equations
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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The objectives for this year are the development of manual techniques for the selection of piecewise linear structure functions, to evaluate their utility for the development of statistical forecast models and to evaluate their value for the improvement of statistical forecast equations.
- Statistics and Probability