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: James, Gareth Witten, Daniela Hastie, Trevor Tibsh Название: Introduction to statistical learning ISBN: 1071614177 ISBN-13(EAN): 9781071614174 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.
Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.
An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.
Автор: Bradley Efron , Trevor Hastie Название: Computer Age Statistical Inference, Student Edition ISBN: 1108823416 ISBN-13(EAN): 9781108823418 Издательство: Cambridge Academ Рейтинг: Цена: 33790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.
Автор: Schumacker, Randall E. Название: Understanding Statistical Concepts Using S-plus ISBN: 1138436577 ISBN-13(EAN): 9781138436572 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Невозможна поставка. Описание: Written as a supplemental text for an introductory or intermediate statistics course, this work includes chapters that provide a conceptual understanding of basic statistics and includes exercises that use S-PLUS simulation programmes.
Автор: Jansen Название: Understanding Audiences, Customers, and Users via Analytics ISBN: 3031419324 ISBN-13(EAN): 9783031419324 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the foundations of using analytics from the laboratory, social media platforms, and the web. The authors cover key topics including analytics strategy, data gathering approaches, data preprocessing, data quality assessment, analytical methods, tools, and validation methods. The book includes chapters explaining web analytics, social media analytics, and how to create an analytics strategy. The authors also cover on data sources, such as online surveys, crowdsourcing, eye tracking, mouse tracking, social media APIs, search logs, and analytics triangulation. The book also discusses analytical tools for social media analytics, search analytics, persona analytics, user studies, and website analytics. The authors conclude by examining the validity of online analytics.
Автор: Everitt, Brian S. Название: A Handbook of Statistical Analyses Using S-PLUS ISBN: 1138469408 ISBN-13(EAN): 9781138469402 Издательство: Taylor&Francis Рейтинг: Цена: 188850.00 T Наличие на складе: Невозможна поставка. Описание: S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. This book focuses on statistical techniques, applies them to one or more data sets, and shows how to generate the proposed analysis and graphics using S-PLUS.
Название: A Handbook of Statistical Analyses Using S-PLUS ISBN: 1584882808 ISBN-13(EAN): 9781584882800 Издательство: Taylor&Francis Рейтинг: Цена: 76550.00 T Наличие на складе: Поставка под заказ.
Автор: Wilcox Rand R. Название: Understanding and Applying Basic Statistical Methods Using R ISBN: 1119061393 ISBN-13(EAN): 9781119061397 Издательство: Wiley Рейтинг: Цена: 72810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians.
Автор: Thompson Название: Understanding Maple ISBN: 1316628140 ISBN-13(EAN): 9781316628140 Издательство: Cambridge Academ Рейтинг: Цена: 22170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this short introduction, the key features of Maple are explained as readers learn to use it to solve complex mathematical problems in areas such as algebra, calculus, linear algebra, graphics, and programming. Numerous illustrative examples are provided and a focus is placed on explaining how common problems can be avoided.
Автор: Ton J. Cleophas; Aeilko H. Zwinderman Название: Clinical Data Analysis on a Pocket Calculator ISBN: 3319271032 ISBN-13(EAN): 9783319271033 Издательство: Springer Рейтинг: Цена: 78350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers all relevant pocket calculator statistical methods, making it an ideal resource for those who wish to understand statistics but have no time for complex mathematics. It helps facilitate data analysis by detailing pocket calculator methods.
Автор: Iddo Eliazar Название: Power Laws: A Statistical Trek ISBN: 3030332349 ISBN-13(EAN): 9783030332341 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This monograph is a comprehensive and cohesive exposition of power-law statistics. Following a bottom-up construction from a foundational bedrock - the power Poisson process - this monograph presents a unified study of an assortment of power-law statistics including: Pareto laws, Zipf laws, Weibull and Frйchet laws, power Lorenz curves, Lйvy laws, power Newcomb-Benford laws, sub-diffusion and super-diffusion, and 1/f and flicker noises.
The bedrock power Poisson process, as well as the assortment of power-law statistics, are investigated via diverse perspectives: structural, stochastic, fractal, dynamical, and socioeconomic.
This monograph is poised to serve researchers and practitioners - from various fields of science and engineering - that are engaged in analyses of power-law statistics.
Автор: Themis Matsoukas Название: Generalized Statistical Thermodynamics ISBN: 3030041484 ISBN-13(EAN): 9783030041489 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions. Extending Gibbs's notion of ensemble, the Author imagines the ensemble of all possible probability distributions and assigns probabilities to them by selection rules that are fairly general. The calculus of the most probable distribution in the ensemble produces the entire network of mathematical relationships we recognize as thermodynamics. The first part of the book develops the theory for discrete and continuous distributions while the second part applies this thermodynamic calculus to problems in population balance theory and shows how the emergence of a giant component in aggregation, and the shattering transition in fragmentation may be treated as formal phase transitions.While the book is intended as a research monograph, the material is self-contained and the style sufficiently tutorial to be accessible for self-paced study by an advanced graduate student in such fields as physics, chemistry, and engineering.
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