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Titlebook: COMPSTAT; Proceedings in Compu Konstantin Momirovi?,Vesna Mildner Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990 Estima

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發(fā)表于 2025-3-23 10:07:28 | 只看該作者
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發(fā)表于 2025-3-23 17:40:21 | 只看該作者
https://doi.org/10.1007/978-3-030-79770-6dictors whose values represent the expected value of the response variable, given the predictors. In the classical paradigm, the outcome variable is assumed to be continuous and normally distributed, and the coefficients of the linear predictor are estimated by least squares.
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發(fā)表于 2025-3-23 23:15:29 | 只看該作者
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發(fā)表于 2025-3-24 06:09:43 | 只看該作者
Knowledge Modelling for Statistical Consultation Systems; Two Empirical Studiesf course, one could design a support system based on knowledge acquisition with a single expert. However, we preferred to consider first how serious the problem of individual differences is. Ultimately, this is an empirical question.
16#
發(fā)表于 2025-3-24 06:39:25 | 只看該作者
Conference proceedings 1990he development of data analysis methods and techniques, which, due to the necessity of application of computers for that purpose, actually means that it practically depends on the advancement and orientation of computer statistics. Every other year the International Association for Statistical Compu
17#
發(fā)表于 2025-3-24 12:04:37 | 只看該作者
Introduction to Stream Data Management,ctions rely on a recently developed device driver [3] for a portable and nearly device-independent system for algorithm animation [2]. We foresee application of our approach by anyone interested in exploring the power of animation techniques for data analysis.
18#
發(fā)表于 2025-3-24 16:00:19 | 只看該作者
https://doi.org/10.1007/978-1-4020-5583-6nuous data. It is suggested that CIGE provides a useful tool for the graphical communication and interactive interpretation of such models, which may be of some use when working with researchers with limited statistical knowledge.
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發(fā)表于 2025-3-24 21:27:15 | 只看該作者
20#
發(fā)表于 2025-3-25 02:08:27 | 只看該作者
Computer Assisted Interpretation of Conditional Independence Graphsnuous data. It is suggested that CIGE provides a useful tool for the graphical communication and interactive interpretation of such models, which may be of some use when working with researchers with limited statistical knowledge.
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