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  • Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells

    First Principle and Data-based Approaches

    The high temperature solid oxide fuel cell (SOFC) is identified as one of the leading fuel cell technology contenders to capture the energy market in years to come. However, in order to operate as an efficient energy generating system, the SOFC requires an appropriate control system which in turn requires a detailed modelling of process dynamics.Introducting state-of-the-art dynamic modelling, ... Leer más

    $153.95 USD

  • Process Control System Fault Diagnosis

    A Bayesian Approach

    Series series Wiley Series in Dynamics and Control of Electromechanical Systems
    Process Control System Fault Diagnosis: A Bayesian ApproachRuben T. Gonzalez, University of Alberta, CanadaFei Qi, Suncor Energy Inc., CanadaBiao Huang, University of Alberta, CanadaData-driven Inferential Solutions for Control System Fault DiagnosisA typical modern process system consists of hundreds or even thousands of control loops, which are overwhelming for plant personnel to monitor. The ... Leer más

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    Series series Mathematics and Statistics (R0)
    An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant ... Leer más

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  • Data Analysis and Data Mining

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    An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have ... Leer más

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  • System Identification

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    The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and ... Leer más

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  • Quantitative Methods In Linguistics

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    Quantitative Methods in Linguistics offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods.Provides balanced treatment of the practical aspects of handling quantitative linguistic ... Leer más

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  • Bayesian Cognitive Modeling

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    Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters ... Leer más

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  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    Series Libro 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Leer más

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  • Statistical Analysis Techniques in Particle Physics

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    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... Leer más

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  • Nonparametric Econometrics

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  • Machine Learning

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    **AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONSPROSE Award Finalist 2019Association of American Publishers Award for Professional and Scholarly Excellence**Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field ... Leer más

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  • Probability, Random Variables, and Random Processes

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    Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some familiarity with probability and random variables, though not necessarily of random processes and systems that ... Leer más

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