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The Estimation of Transformation Models
International Statistical Review / Revue Internationale de Statistique, 1993Summary: The paper discusses statistical inference for response models in which the dependent variable is subjected to a nonlinear parametric transformation. Maximum likelihood estimation based on normally distributed errors may be logically flawed, and in any case maximum likelihood estimates are generally inconsistent when the error distribution ...
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Proceedings of the 7th international workshop on Software and performance, 2008
Model-driven performance prediction methods use abstract design models to predict the performance of the modelled system during early development stages. However, performance is an attribute of the running system and not its model. The system contains many implementation details not part of its model but still affecting the performance at run-time ...
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Model-driven performance prediction methods use abstract design models to predict the performance of the modelled system during early development stages. However, performance is an attribute of the running system and not its model. The system contains many implementation details not part of its model but still affecting the performance at run-time ...
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Digital transformation capability maturity model enabling the assessment of industrial manufacturers
Computers in Industry, 2021Ebru Gökalp
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Digital Transformation of Incumbent Firms: A Business Model Innovation Perspective
IEEE Transactions on Engineering Management, 2023Patrick Spieth, Thomas Claus
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How to Vary the Input Space of a T–S Fuzzy Model: A TP Model Transformation-Based Approach
IEEE Transactions on Fuzzy Systems, 2022Peter Baranyi
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ATL: A model transformation tool
Science of Computer Programming, 2008Frédéric Jouault +2 more
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A framework for model transformation verification
Formal Aspects of Computing, 2015Kevin Lano, Tony Clark, Lano Kevin
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The model transformation language of the VIATRA2 framework
Science of Computer Programming, 2007Daniel Varro, András Balogh
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