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Titlebook: COMPSTAT; Proceedings in Compu Jelke G. Bethlehem,Peter G. M. Heijden Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 Bo

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樓主: Sparkle
11#
發(fā)表于 2025-3-23 10:07:25 | 只看該作者
12#
發(fā)表于 2025-3-23 15:00:36 | 只看該作者
13#
發(fā)表于 2025-3-23 21:29:21 | 只看該作者
National Football League Strategiese bootstrap methods for this purpose are discussed, some related problems are pointed out and proposals are presented to overcome the difficulties at least partly. Some remaining problems are presented.
14#
發(fā)表于 2025-3-24 01:42:21 | 只看該作者
Official Statistics: an estimation strategy for the IT-erahe target population. The key element of the estimation procedure is repeated re-calibration of survey data sets, i.e. a new set of raising weights is derived each time additional estimates are being produced. This allows us to take account of any related statistics obtained in earlier rounds of estimation.
15#
發(fā)表于 2025-3-24 02:39:28 | 只看該作者
16#
發(fā)表于 2025-3-24 06:34:01 | 只看該作者
Bootstrapping impulse responses in VAR analysese bootstrap methods for this purpose are discussed, some related problems are pointed out and proposals are presented to overcome the difficulties at least partly. Some remaining problems are presented.
17#
發(fā)表于 2025-3-24 13:06:15 | 只看該作者
Bayesian model selection methods for nonnested modelsble values to the posterior probability of each model, or they depends on the form of “encompassing”..We first consider a particular nonnested model selection problem: the one-sided testing problem. The encompassing approach for converting the non-nested problem into a nested one is discussed, and a
18#
發(fā)表于 2025-3-24 16:42:13 | 只看該作者
19#
發(fā)表于 2025-3-24 21:07:47 | 只看該作者
20#
發(fā)表于 2025-3-25 01:46:02 | 只看該作者
National Football League Strategiesrecasted with signal extraction techniques applied to ARIMA models. The two programs are structured so as to be used together both for in-depth analysis of a few series or for automatic routine applications to a large number of series. When used for seasonal adjustment, IRAMO preadjusts the series t
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