Interval Studies and Lead Guitar Technique

Interval Studies and Lead Guitar Technique PDF

Author: Barrett Tagliarino

Publisher: Barrett Tagliarino

Published: 2012-09

Total Pages: 80

ISBN-13: 9780980235340

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Master the mechanics of single-string technique with this clear concise book and feel the creative freedom that comes when your fingers easily express any musical idea you conceive. Includes: Alternate, economy, sweep, outside, and inside picking - Precise string damping and muting for clear punchy tone - Anticipating and preventing fingering glitches - Scales, modes, triad and 7th arpeggios with inversions - CAGED system fretboard navigation - Intervallic exercises from 3rds through 7ths, with sequencing permutations to keep your fingers and brain working for years to come - Developing natural phrasing senses - Breaking down the learning and memorization process - Making sure practice time produces results - Sprint training regimen for efficiently building speed - Examples notated and tabbed with exact picking and fingering - Password to download audio of all 114 examples.

Methods and Applications of Interval Analysis

Methods and Applications of Interval Analysis PDF

Author: Ramon E. Moore

Publisher: SIAM

Published: 1979-01-01

Total Pages: 190

ISBN-13: 9781611970906

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This book treats an important set of techniques that provide a mathematically rigorous and complete error analysis for computational results. It shows that interval analysis provides a powerful set of tools with direct applicability to important problems in scientific computing.

Interval-Censored Time-to-Event Data

Interval-Censored Time-to-Event Data PDF

Author: Ding-Geng (Din) Chen

Publisher: CRC Press

Published: 2012-07-19

Total Pages: 435

ISBN-13: 1466504250

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Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research. Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator for identifying causal effect of treatment, and consistent variance estimation for interval-censored data. In the final part, the contributors use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event applications. They also present adaptive decision making methods to optimize the rapid treatment of stroke, explore practical issues in using weighted logrank tests, and describe how to use two R packages. A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. It shows how up-to-date statistical methods are used in biopharmaceutical and public health applications.

Functional and Neural Mechanisms of Interval Timing

Functional and Neural Mechanisms of Interval Timing PDF

Author: Warren H. Meck

Publisher: CRC Press

Published: 2003-03-24

Total Pages: 600

ISBN-13: 0203009576

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Understanding temporal integration by the brain is expected to be among the premier topics to unite systems, cellular, computational, and cognitive neuroscience over the next decade. The phenomenon has been studied in humans and animals, yet until now, there has been no publication to successfully bring together the latest information gathered from

Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data PDF

Author: Kris Bogaerts

Publisher: CRC Press

Published: 2017-11-20

Total Pages: 644

ISBN-13: 1351643053

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Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice. Features: -Provides an overview of frequentist as well as Bayesian methods. -Include a focus on practical aspects and applications. -Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website. The authors: Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor of Statistical Modelling: An International Journal. Emmanuel Lesaffre is professor of biostatistics at I-BioStat, KU Leuven. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval-censored data, misclassification issues, and clinical trials. He is the founding chair of the Statistical Modelling Society, past-president of the International Society for Clinical Biostatistics, and fellow of ISI and ASA.

Neurobiology of Interval Timing

Neurobiology of Interval Timing PDF

Author: Hugo Merchant

Publisher: Springer

Published: 2014-10-30

Total Pages: 358

ISBN-13: 149391782X

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The study of how the brain processes temporal information is becoming one of the most important topics in systems, cellular, computational, and cognitive neuroscience, as well as in the physiological bases of music and language. During the last and current decade, interval timing has been intensively studied in humans and animals using increasingly sophisticated methodological approaches. The present book will bring together the latest information gathered from this exciting area of research, putting special emphasis on the neural underpinnings of time processing in behaving human and non-human primates. Thus, Neurobiology of Interval Timing will integrate for the first time the current knowledge of both animal behavior and human cognition of the passage of time in different behavioral context, including the perception and production of time intervals, as well as rhythmic activities, using different experimental and theoretical frameworks. The book will the composed of chapters written by the leading experts in the fields of psychophysics, functional imaging, system neurophysiology, and musicology. This cutting-edge scientific work will integrate the current knowledge of the neurobiology of timing behavior putting in perspective the current hypothesis of how the brain quantifies the passage of time across a wide variety of critical behaviors.

The Statistical Analysis of Interval-censored Failure Time Data

The Statistical Analysis of Interval-censored Failure Time Data PDF

Author: Jianguo Sun

Publisher: Springer

Published: 2007-05-26

Total Pages: 304

ISBN-13: 0387371192

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This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.

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