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Titlebook: COMPSTAT; Proceedings in Compu Albert Prat Conference proceedings 1996 Physica-Verlag Heidelberg 1996 Bayesian Models.Bayessche Methoden.Cl

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樓主: 天真無邪
11#
發(fā)表于 2025-3-23 12:32:36 | 只看該作者
Scientific Statistics, Teaching, Learning and the Computerof grants by funding agencies. All this has, I believe, greatly limited the value and distorted the development of our subject. A “worst case” scenario of some of its consequences is illustrated in the flow diagram in Figure 1.
12#
發(fā)表于 2025-3-23 16:34:37 | 只看該作者
Trends in the Information Technologies Markets-The Futuree. It is emphasized that successful companies in these industries are those that develop and exploit technology for products and services, but also have clear and visionary strategies in Marketing. The presentation anticipates the future by extrapolating lasting trends and anticipated technological developments.
13#
發(fā)表于 2025-3-23 19:34:28 | 只看該作者
14#
發(fā)表于 2025-3-24 01:52:02 | 只看該作者
15#
發(fā)表于 2025-3-24 02:48:29 | 只看該作者
From Fourier to Wavelet Analysis of Time Seriesond order) . of .t. Relation (1.2) tells us that the variance of a time series is decomposed into a number of components, each one associated with a particular .. This is the basic idea in the Fourier analysis of stationary time series. Some references are Brillinger (1975) and Brockwell and Davis(1991).
16#
發(fā)表于 2025-3-24 09:23:41 | 只看該作者
17#
發(fā)表于 2025-3-24 14:27:07 | 只看該作者
On a Weighted Principal Component Model to Forecast a Continuous Time Series is based on linear regression of the principal components (p.c.’s) associated to the process . in the future against its p.c.’s in the past. This research was supported in part by Project PS94-0136 of DGICYT, Ministerio de Educación y Ciencia, Spain
18#
發(fā)表于 2025-3-24 16:12:21 | 只看該作者
19#
發(fā)表于 2025-3-24 21:44:40 | 只看該作者
20#
發(fā)表于 2025-3-25 01:11:25 | 只看該作者
K. J. Kwon-Chung,John E. Bennettse series show advise specific treatment, differentiated from that of the series which show a higher level of time aggregation. In this article the previous problem is illustrated and an automatic methodology for the analysis of such series is proposed.
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