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Erscheinungsdatum: 30.04.2014, Medium: Buch, Einband: Gebunden, Titel: Advances in Physiological Computing, Redaktion: Fairclough, Stephen // Gilleade, Kiel, Verlag: Springer-Verlag GmbH // Springer London, Sprache: Englisch, Schlagworte: Biometrie // Biopsychologie // Psychologie // Datenverarbeitung // Elektronik // EDV // Gesundheitspsychologie // Forschung // Experimente // Methoden // Informationstechnologie // IT // Technologie // Mustererkennung // Intelligenz // Künstliche Intelligenz // KI // AI // Informatik // Schnittstelle // COMPUTERS // Computer Vision & Pattern Recognition // Data Processing // User Interfaces // PSYCHOLOGY // Applied Psychology // Research & Methodology // Experimental Psychology // Psychologische Methodenlehre // Physiologische Psychologie // Neuropsychologie // Informationstechnik // allgemeine Themen // Maschinelles Sehen // Bildverstehen // Interfacedesign // Benutzerfreundlichkeit // Usability // Betriebssysteme // Kognitive Neurowissenschaft, Rubrik: Betriebssysteme // Benutzeroberflächen, Seiten: 238, Abbildungen: Bibliographie, Herkunft: NIEDERLANDE (NL), Reihe: Human-Computer Interaction Series, Gewicht: 553 gr, Verkäufer: averdo

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This book constitutes the refereed proceedings of the 14th Conference on Computability in Europe, CiE 2018, held in Kiel, Germany, in July/ August 2017.The 26 revised full papers were carefully reviewed and selected from 55 submissions. In addition, this volume includes 15 invited papers. The conference CiE 2018 has six special sessions, namely: Approximation and optimization, Bioinformatics and bio-inspired computing, computing with imperfect information, continuous computation, history and philosophy of computing (celebrating the 80 th birthday of Martin Davis), and SAT-solving.

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Prof. Dr. Egon Krause Aerodynamisches Institut RWTH Aachen Wullnerstr. zw. 5 u. 7, D-52062 Aachen Jager Prof. Dr. Willi Interdiszipliniires Zentrum fur Wissenschaftliches Rechnen Universitiit Heidelberg 1m Neuenheimer Feld 368, D-69120 Heidelberg The Fifth Results and Review Workshop on High Performance Computing in Science and Engineering was held at the High Performance Computing Center Stuttgart (HLRS) September 30th - October 1st, 2002. 40 projects processed at the HLRS and at the Scientific Supercomputing Center Karl sruhe (SSC) were selected for presentation at the workshop and, after an internal review, prepared for publication in this fifth volume of the trans actions of the HLRS. The results reported were obtained during the time after the last workshop in October 2001. The projects were initiated at the universities in Aachen, Bayreuth, Belfast, Berlin, Bielefeld, Braunschweig, Cottbus, Darmstadt, Erlangen-Nurnberg, Essen, Freiburg, Gottingen, Greif swald, Halle-Wittenberg, Hamburg-Harburg, Heidelberg, Hohenheim, J ena, Karlsruhe, Kiel, Konstanz, Mainz, Marburg, Montpellier, Munchen, Munster, Rome, the Saarland, Salzburg, Stuttgart, Tubingen, Ulm, Worcester, Wurz burg, and Zurich. Several projects are carried out in cooperation with insti tutes of the Max Planck Society in Stuttgart, the German Research Center of Aero- and Astronautics in Braunschweig and Stuttgart, the Geo-Research Center in Potsdam, the Los Alamos National Laboratory, the Alfred-Wegener Institute of Polar and Maritime Research, and the Research Center Karlsruhe.

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Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation.This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers. Climate is a paradigm of a complex system. Analysing climate data is an excitingchallenge, which is increased by non-normal distributional shape, serial dependence,uneven spacing and timescale uncertainties. This book presents bootstrapresampling as a computing-intensive method able to meet the challenge. It showsthe bootstrap to perform reliably in the most important statistical estimationtechniques: regression, spectral analysis, extreme values and correlation.This book is written for climatologists and applied statisticians. It explains stepby step the bootstrap algorithms (including novel adaptions) and methods forconfidence interval construction. It tests the accuracy of the algorithms by meansof Monte Carlo experiments. It analyses a large array of climate time series,giving a detailed account on the data and the associated climatological questions.This makes the book self-contained for graduate students and researchers.Manfred Mudelsee received his diploma in Physics from the University of Heidelberg and his doctoral degree in Geology from the University of Kiel. He was then postdoc in Statisticsat the University of Kent at Canterbury, research scientist in Meteorology at the University of Leipzig and visiting scholar in Earth Sciences at Boston University, currently he does climate research at the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven. His science focuses on climate extremes, time series analysis and mathematical simulation methods. He has authored over 50 peer-reviewed articles. In his 2003 Nature paper, Mudelsee introduced the bootstrap method to flood risk analysis. In 2005, he founded the company Climate Risk Analysis.

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Kernel Equating (KE) is a powerful, modern and unified approach to test equating. It is based on a flexible family of equipercentile-like equating functions and contains the linear equating function as a special case. Any equipercentile equating method has five steps or parts. They are: 1) pre-smoothing; 2) estimation of the score-probabilities on the target population; 3) continuization; 4) computing and diagnosing the equating function; 5) computing the standard error of equating and related accuracy measures. KE brings these steps together in an organized whole rather than treating them as disparate problems. KE exploits pre-smoothing by fitting log-linear models to score data, and incorporates it into step 5) above. KE provides new tools for diagnosing a given equating function, and for comparing two or more equating functions in order to choose between them. In this book, KE is applied to the four major equating designs and to both Chain Equating and Post-Stratification Equating for the Non-Equivalent groups with Anchor Test Design. This book will be an important reference for several groups: (a) Statisticians and others interested in the theory behind equating methods and the use of model-based statistical methods for data smoothing in applied work; (b) Practitioners who need to equate tests&#8212;including those with these responsibilities in testing companies, state testing agencies and school districts; and (c) Instructors in psychometric and measurement programs. The authors assume some familiarity with linear and equipercentile test equating, and with matrix algebra. Alina von Davier is an Associate Research Scientist in the Center for Statistical Theory and Practice, at Educational Testing Service. She has been a research collaborator at the Universities of Trier, Magdeburg, and Kiel, an assistant professor at the Politechnical University of Bucharest and a research scientist at the Institute for Psychology in Bucharest. Paul Holland holds the Frederic M. Lord Chair in Measurement and Statistics at Educational Testing Service. He held faculty positions in the Graduate School of Education, University of California, Berkeley and the Harvard Department of Statistics. He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science. He is an elected Member of the International Statistical Institute and a past president of the Psychometric society. He was awarded the (AERA/ACT) E. F. Lindquist Award, in 2000, and was designated a National Associate of the National Academies of Science in 2002. Dorothy Thayer currently is a consultant in the Center of Statistical Theory and Practice, at Educational Testing Service. Her research interests include computational and statistical methodology, empirical Bayes techniques, missing data procedures and exploratory data analysis techniques. From the reviews: 'The book is nicely laid out, is extremely well written, and is an excellent text for a semester course or a short course&#8230;The book is highly recommended.' Short Book Reviews of the International Statistical Institute, December 2004 'This book is well-written and the presentation is clear, rigorous, and concise...A rich set of applications is used to illustrate the methods...This book is a gem! I highly recommend it to any statistician or psychometrician who has even a passing interest in test equating.' Pscyhometrika, March 2006 'This is a great book, and it is the first to focus on the kernel method of test equating.' Applied Psychological Measurement, September 2005

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