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Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive;
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Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive;
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both general linear model theory and application. The model is discussed using a general framework, enabling students to appreciate fully the;
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Lectures: G.E. Sacks: Model theory and applications.- H.J. Keisler: Constructions in model theory.- Seminars: M. Servi: SH formulas and;
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on mixture models and their applications in scientific domains such as data mining, machine learning, physics, mechanical engineering, signal;
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Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable;
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A one-page tool to reinvent yourself and your career The global bestseller Business Model Generation introduced a unique visual way to;
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Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model;
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kinds of audience. They describe, as the book's name suggests, HTSC models and methodologies. Physical models (like extended BCS model;
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kinds of audience. They describe, as the book's name suggests, HTSC models and methodologies. Physical models (like extended BCS model;
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This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the;
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This book constitutes the refereed proceedings of the 9th International Conference on Model Transformation, ICMT 2016, held in Vienna;
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Industry Standard FDSOI Compact Model BSIM-IMG for IC Design helps readers develop an understanding of a FDSOI device and its;
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This book constitutes the refereed proceedings of the 7th International Conference on Model Transformation, ICMT 2014, held in York, UK;
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Tap into the power of the most popular stochastic volatility model for pricing equity derivatives Since its introduction in 1993, the;
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describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its;
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A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;
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A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;
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Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural;
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Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics;
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