Titlebook: Model-Based Development and Evolution of Information Systems; A Quality Approach John Krogstie Textbook 2012 Springer-Verlag London Limited

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Regression Trees,apters 9 and 10), mixed-effects regression for longitudinal data (Chapters 11 and 12) and generalized additive and nonlinear models (Chapters 13 and 14). These parametric regression methods are widely used, but they may not give faithful data descriptions when the assumptions on which they are based

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Starting Small, Learning as You Grow: Relational-Emergent Health Service Ecosystem Designplex high needs. This chapter describes work focused on integration across traditional healthcare silos and the requirement for building shared responsibility of caring for patients in such a health service ecosystem. We discuss how a shared commitment to health equity can provide a common purpose f

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Combined Machine Learning Techniques for Analyzing the Back Contact Influence on the Stability of Perovskite-Based Solar Cellsiency (PCE). Nevertheless, the problem of the device stability remains a dilemma that is responsible for the solar cell degradation that needs to be investigated intensively. Therefore, in this work, based on a dataset containing 140 data points extracted from previous experimental works on PSCs, th

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Spatial Analyses of Floodsay vary with the flood-generating conditions. Spatial flood types can help to better understand the interplay between catchments and thus to improve spatial statistics. In this chapter, a methodology is proposed to define the focus point of flood in a large basin under consideration of the tributari

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Olaf Weber,Truzaar Dordi,Adeboye Oyegunle. To make a decision whether to assign a company the AEO status or not, it has been proposed to use a scale of compliance of an enterprise’s rating with one of the committee‘s conclusions such as unconditionally positive, positive, conditionally positive, negative, refusal to assign the status.