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Titlebook: COMPSTAT; Proceedings in Compu F. Antoni,N. Lauro,A. Rizzi Conference proceedings 1986 Physica-Verlag Heidelberg for IASC (International As

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樓主: Callow
31#
發(fā)表于 2025-3-26 22:23:56 | 只看該作者
32#
發(fā)表于 2025-3-27 04:40:43 | 只看該作者
Stephen Reicher,Nick Hopkins,Kate Harrisons, to regular least absolute deviation (LAD) equation fits done with multi stage Monte Carlo optimization (MSMCO). Then two nonlinear models are fitted using LAD with MSMCO. One is a regular LAD fit and the other uses mini max LAD curve fitting.
33#
發(fā)表于 2025-3-27 06:28:16 | 只看該作者
https://doi.org/10.1007/978-3-030-80275-2ed, given the numerous statistical packages that treat this class of models, but the literature on this subject is scarce. Yet the subject is non trivial and has several surprising and elegant results. This paper surveys the main results, including some generalizations.
34#
發(fā)表于 2025-3-27 09:59:08 | 只看該作者
Conference proceedings 1986is the set of the nominal system functions and A F = l A F k 1(;. } is the set 0 f the a 11 0 w a b 1 e s emf y s t u n c ion t s de- viations. The set F depends besides the system structure also on the vector X = [Xi}N of the system parameters. Suppose, that the system structure is invariant.
35#
發(fā)表于 2025-3-27 17:11:45 | 只看該作者
= lFOk}~ is the set of the nominal system functions and A F = l A F k 1(;. } is the set 0 f the a 11 0 w a b 1 e s emf y s t u n c ion t s de- viations. The set F depends besides the system structure also on the vector X = [Xi}N of the system parameters. Suppose, that the system structure is invariant.978-3-7908-0355-6978-3-642-46890-2
36#
發(fā)表于 2025-3-27 18:50:31 | 只看該作者
37#
發(fā)表于 2025-3-27 23:50:45 | 只看該作者
38#
發(fā)表于 2025-3-28 05:49:12 | 只看該作者
New Procedures for Generating Optimal Experimental Designs the computer generation of exact D-optimal designs is carried out. Among algorithms considered were those due to Fedorov, Wynn, Mitchell, and Johnson and Nachtsheim. It is shown that by the use of CDOP efficient designs can be obtained on convex design spaces.
39#
發(fā)表于 2025-3-28 08:01:02 | 只看該作者
40#
發(fā)表于 2025-3-28 11:07:33 | 只看該作者
Comparison of Least Squares with Least Absolute Deviation Forecasting Using Simulation Techniquess, to regular least absolute deviation (LAD) equation fits done with multi stage Monte Carlo optimization (MSMCO). Then two nonlinear models are fitted using LAD with MSMCO. One is a regular LAD fit and the other uses mini max LAD curve fitting.
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