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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (postgraduate) from the year 2015 in the subject Medicine - Other, grade: II Level Master, University of Pavia (Unit of Medical and Genomic Statistics), course: Medical and Genomic Statistics, language: English, abstract: Electroencephalography, commonly called 'EEG', estimates through the application of electrodes, the electrical activity of the brain (which is the sum of the electrical activity of each neuron). In recent years, with the goal of making more reliable the EEG, many researchers have turned their interest in the development of tools, methods and software. This thesis describes some best procedures for the experimental design, data visualization and descriptive or inferential statistical analysis. The application of statistical models to single or multiple subjects study-design are also described, including parametric and non-parametric approaches. Methods for processing multivariate data (PCA, ICA, clustering) were described. Re-sampling methods (bootstrap) using many randomly software-generated samples were also described. The aim of this work is to provide, with statistical concepts and examples, information on the qualitative and quantitative approaches related to the electroencephalographic signals. The work consists into three parts: INTRODUTION TO ELECTROENCEPHALOGRAPHY (GENERAL CHARACTERISTICS); DATA MINING AND STATISTICAL ANALYSIS; EXPERIMENTAL STUDY DESIGNS. The six works included in the section called 'EXPERIMENTAL STUDY DESIGNS' analyze EEG alterations in the protocols: Electrocortical activity in dancers and non-dancers listening to different music genre and during imaginative dance motor activity; Electrocortical activity during monosynaptic reflex in athletes; Monitoring of electrocortical activity for evaluation of seasickness; Electrocortical activity in different body positions; Electrocortical activity in athletes and non-athletes during body balance tasks; Electrocortical responses in volunteers with and without specific experience watching movies including the execution of complex motor gestures. In the section called 'OTHER INTERESTING THINGS' were included one work that analyze EMG (electromyography) alterations in pathological and healthy subjects in the protocol: Comparison between clinical diagnostic criteria of sleep bruxism and those provided by a validated portable holter. The described procedures can be used for clinical trials, although the studies proposed in this work do not refer to samples from pathological subjects. With its multi-specialist approach, through many theoretical and practical feedback, this work will be useful for specializing in neuroscience, statistics, engineering or physiology.
Taschenbuch. Zustand: Neu. Multivariate Statistical Analysis in Neuroscience | Advanced Mathematical Modeling Applied to Electroencephalographic Signals in Complex Data Problems | Marco Ivaldi (u. a.) | Taschenbuch | 184 S. | Englisch | 2015 | GRIN Verlag | EAN 9783656973768 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 250 pages. 8.75x7.25x0.50 inches. In Stock.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 137,45
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 436 pages. 9.00x6.25x1.25 inches. In Stock.
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Taschenbuch. Zustand: Neu. Applied Statistical Modeling and Data Analytics | A Practical Guide for the Petroleum Geosciences | Srikanta Mishra (u. a.) | Taschenbuch | Englisch | 2017 | Elsevier Science | EAN 9780128032794 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Buch. Zustand: Neu. Neuware - This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data.Key features of the book include:\* Comprehensive coverage of an imporant area for both research and applications.\* Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques.\* Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference.\* Includes a number of applications from the social and health sciences.\* Edited and authored by highly respected researchers in the area.
Anbieter: moluna, Greven, Deutschland
EUR 164,41
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In den WarenkorbGebunden. Zustand: New. Yannis Dimotikalis is Assistant Professor within the Department of Management Science and Technology at the Hellenic Mediterranean University, Greece.Alex Karagrigoriou is Professor of Probability and Statistics, Deputy Director of Graduate Studies in Stati.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 217,13
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In den WarenkorbHardcover. Zustand: Brand New. 284 pages. 9.57x6.46x0.79 inches. In Stock.
Sprache: Englisch
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2021
ISBN 10: 1786306743 ISBN 13: 9781786306746
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2021. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically.This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.