Statistical physics for electrical engineering, Merhav, Neri
Автор: Riley Название: Mathematical Methods for Physics and Engineering ISBN: 0521679710 ISBN-13(EAN): 9780521679718 Издательство: Cambridge Academ Рейтинг: Цена: 52800.00 T Наличие на складе: Есть Описание: This highly acclaimed undergraduate textbook teaches all the mathematics for undergraduate courses in the physical sciences. Containing over 800 exercises, half come with hints and answers and, in a separate manual, complete worked solutions. The remaining exercises are intended for unaided homework; full solutions are available to instructors.
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Butterfield, Andrew (Assistant Professor in Computer Science, Assistant Professor in Computer Science, Trinity College, Dublin) Szymanski, John (Lectu Название: A Dictionary of Electronics and Electrical Engineering. 5 Ed. ISBN: 0198725728 ISBN-13(EAN): 9780198725725 Издательство: Oxford Academ Рейтинг: Цена: 16890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This dictionary includes 5,000 definitions of the terms, theories, and practices in the area of electronics and electrical science and engineering. It includes coverage of circuits, power, systems, magnetic devices, control theory, communications, signal processing, and telecommunications.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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 journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Gonen Turan Название: Electrical Power Transmission System Engineering ISBN: 1482232227 ISBN-13(EAN): 9781482232226 Издательство: Taylor&Francis Рейтинг: Цена: 52800.00 T Наличие на складе: Нет в наличии. Описание:
Electrical Power Transmission System Engineering: Analysis and Design is devoted to the exploration and explanation of modern power transmission engineering theory and practice. Designed for senior-level undergraduate and beginning-level graduate students, the book serves as a text for a two-semester course or, by judicious selection, the material may be condensed into one semester. Written to promote hands-on self-study, it also makes an ideal reference for practicing engineers in the electric power utility industry.
Basic material is explained carefully, clearly, and in detail, with multiple examples. Each new term is defined as it is introduced. Ample equations and homework problems reinforce the information presented in each chapter. A special effort is made to familiarize the reader with the vocabulary and symbols used by the industry. Plus, the addition of numerous impedance tables for overhead lines, transformers, and underground cables makes the text self-contained.
The Third Edition is not only up to date with the latest advancements in electrical power transmission system engineering, but also:
Provides a detailed discussion of flexible alternating current (AC) transmission systems
Offers expanded coverage of the structures, equipment, and environmental impacts of transmission lines
Features additional examples of shunt fault analysis using MATLAB(R)
Also included is a review of the methods for allocating transmission line fixed charges among joint users, new trends and regulations in transmission line construction, a guide to the Federal Energy Regulatory Commission (FERC) electric transmission facilities permit process and Order No. 1000, and an extensive glossary of transmission system engineering terminology.
Covering the electrical and mechanical aspects of the field with equal detail, Electrical Power Transmission System Engineering: Analysis and Design, Third Edition supplies a solid understanding of transmission system engineering today.
Автор: Keith W. Hipel Название: Stochastic and Statistical Methods in Hydrology and Environmental Engineering ISBN: 9401044678 ISBN-13(EAN): 9789401044677 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Vol.4: Effective Environmental Management for Sustainable Development
Автор: Keith W. Hipel; Liping Fang Название: Stochastic and Statistical Methods in Hydrology and Environmental Engineering ISBN: 0792327594 ISBN-13(EAN): 9780792327592 Издательство: Springer Рейтинг: Цена: 234790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A collection of papers on extreme value analyses for floods and droughts, stochastic and statistical modelling of groundwater and surface water systems, time series analysis in hydrology and environmental engineering, and approaches to both the theory and practice of effective environmental management.
Автор: Avishek Adhikari; Mahima Ranjan Adhikari; Yogendra Название: Mathematical and Statistical Applications in Life Sciences and Engineering ISBN: 9811053693 ISBN-13(EAN): 9789811053696 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book includes articles from eminent international scientists discussing a wide spectrum of topics of current importance in mathematics and statistics and their applications.
Автор: Masanobu Taniguchi; Tomoyuki Amano; Hiroaki Ogata; Название: Statistical Inference for Financial Engineering ISBN: 3319034960 ISBN-13(EAN): 9783319034966 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Preface.- Features of Financial Data.- Empirical Likelihood Approaches for Financial Returns.- Various Methods for Financial Engineering.- Some Techniques for ARCH Financial Time Series.- Index.
Автор: James Gareth Название: An Introduction to Statistical Learning ISBN: 1461471370 ISBN-13(EAN): 9781461471370 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Невозможна поставка. Описание: This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.
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