Описание: The cross-disciplinary pursuits between modern technology, their computations and applications to the human body have exploded because of rapid developments in computer technology and mathematical computational techniques. This four-volume set, Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems, represents the first multi-volume treatment of this significant subject on the international scene. The work is an indispensable reference source by leading researchers, and is essential reference work for academics, practitioners, students and researchers working with: *Computers in Medicine, *Science and Mathematics in Biomaterials, Biomechanics and Bioengineering, *Computational Biophysics.
Описание: The cross-disciplinary pursuits between modern technology, their computations and applications to the human body have exploded because of rapid developments in computer technology and mathematical computational techniques. This four-volume set, Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems, represents the first multi-volume treatment of this significant subject on the international scene. The work is an indispensable reference source by leading researchers, and is essential reference work for academics, practitioners, students and researchers working with: *Computers in Medicine, *Science and Mathematics in Biomaterials, Biomechanics and Bioengineering, *Computational Biophysics. Volume Synopsis: Volume 1: Algorithm Techniques The first volume begins logically with algorithmic techniques and their application in medical imaging procedures Electrocardiography (ECG) and Magnetoencephalography (MEG): modeling techniques used in data rich biomechanics and biomedical environments; and specific coverage of artificial neural networks for rehabilitation and DNA sequence analysis. Volume 2: Computational Methods Volume 2 presents computational methods across a broad array of subjects, from bone implants and wound healing to temperature driven physiological reactions of arms and legs; from spatial pattern analysis and binocular fixation systems to telerobotic surgery; and computer design and manufacturing systems in biomedicine. Volume 3: Mathematical Analysis Methods This volume focuses on methods of mathematical analysis, starting with medical imaging. Then to biological modeling for applications to blood flow, neuranatomy and motion analysis of tumors and metastases; mathematical methods related to Doppler examination of the heart, blood pressure drugs and knee implants; and closing with biosignal interchange formats and boundary element methods for biological systems. Volume 4: Diagnostic Methods This volume presents a rich variety of diagnostic methods and techniques derived from results of the earlier volumes. From analytical to heuristic to modern methods of artificial intelligence, a significant summary is provided on the essential role computational methods play in medical systems.
Автор: Kohler Название: Data Analysis Using Stata, Third Edition ISBN: 1597181102 ISBN-13(EAN): 9781597181105 Издательство: Taylor&Francis Рейтинг: Цена: 8832 р. Наличие на складе: Невозможна поставка.
Описание: Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.
Автор: Berthold Название: Intelligent Data Analysis ISBN: 3540430601 ISBN-13(EAN): 9783540430605 Издательство: Springer Рейтинг: Цена: 19165 р. Наличие на складе: Поставка под заказ.
Описание: This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas.
Автор: Hersh Название: Mathematical Modelling for Sustainable Development ISBN: 3540242163 ISBN-13(EAN): 9783540242161 Издательство: Springer Рейтинг: Цена: 35817 р. Наличие на складе: Поставка под заказ.
Описание: This book aims at providing both a basic introduction and advanced technical details of some of the available mathematical and computing methods, thus closing the exisiting gap in this field, as well as illustrating their use through case studies and examples. The methods presented here are targetted at sustainable development and the case studies and examples are all in this area, although they have a wide range of other applications, including economics, medicine and control systems
Автор: Agresti Alan Название: Categorical Data Analysis ISBN: 0470463635 ISBN-13(EAN): 9780470463635 Издательство: Wiley Рейтинг: Цена: 18211 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis. " Statistics in Medicine "It is a total delight reading this book.
Автор: Raychaudhuri, Soumya Название: Computational Text Analysis ISBN: 0198567413 ISBN-13(EAN): 9780198567417 Издательство: Oxford Academ Рейтинг: Цена: 6468 р. Наличие на складе: Поставка под заказ.
Описание: This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis, and gene expression data. Including background chapters on the necessary biology, statistics, and genomics it is ideal for students and researchers in computational biology, bioinformatics, genomics, statistics and computer science.
Автор: Howard, Ii Название: Computational Methods for Numerical Analysis with R ISBN: 1498723632 ISBN-13(EAN): 9781498723633 Издательство: Taylor&Francis Рейтинг: Цена: 10284 р. Наличие на складе: Невозможна поставка.
Описание: Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.
Автор: Thisted Название: Elements of Statistical Computing ISBN: 0412013711 ISBN-13(EAN): 9780412013713 Издательство: Taylor&Francis Рейтинг: Цена: р. Наличие на складе: Невозможна поставка.
Описание: Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.
Описание: * Presents a much-needed practical guide to statistical spatial analysis on a network, in a logical, user-friendly order. * Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics.
Автор: Deonier Название: Computational Genome Analysis ISBN: 0387987851 ISBN-13(EAN): 9780387987859 Издательство: Springer Рейтинг: Цена: 8978 р. Наличие на складе: Поставка под заказ.
Описание: Presents the foundations of key problems in computational molecular biology and bioinformatics. This book focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. It also features topics organized around biological problems.
Название: Analysis of longitudinal data ISBN: 0199676755 ISBN-13(EAN): 9780199676750 Издательство: Oxford Academ Рейтинг: Цена: 6269 р. Наличие на складе: Поставка под заказ.
Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
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