A Newton's Method for Benchmarking Time Series According to a Growth Rates Preservation Principle
July 1, 2011
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Format: Chicago
Summary
Subject: Artificial intelligence, Technology
Keywords: Artificial intelligence, Benchmarked estimate, Benchmarking, Benchmarking procedure, BFGS performance, Global, GRP criterion, GRP procedure, Hessian matrix, Linearly equality constrained non-linear optimization, Minimization problem, Movement preservation, Newton’s method, Objective function, Optimization procedure, Time series, WP
Publication Details
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Pages:
42
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Volume:
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DOI:
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Issue:
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Series:
Working Paper No. 2011/179
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Stock No:
WPIEA2011179
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ISBN:
9781462311293
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ISSN:
1018-5941