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Statistics for High Dimensional Data, B?hlmann



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Цена: 14374р.
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При оформлении заказа до: 5 апр 2023
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Автор: B?hlmann
Название:  Statistics for High Dimensional Data
Перевод названия: Больманн: Статистика многомерных данных
ISBN: 9783642201912
Издательство: Springer
Классификация:
ISBN-10: 3642201911
Обложка/Формат: Hardback
Страницы: 574
Вес: 1.002 кг.
Дата издания: 2011
Серия: Springer series in statistics
Язык: English
Иллюстрации: Biography
Размер: 245 x 165 x 36
Читательская аудитория: Professional & vocational
Подзаголовок: Methods, theory and applications
Ссылка на Издательство: Link
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Поставляется из: Германии



Oxford Handbook of Medical Statistics

Автор: Peacock, Janet, Peacock, Philip
Название: Oxford Handbook of Medical Statistics
ISBN: 0199551286 ISBN-13(EAN): 9780199551286
Издательство: Oxford Academ
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Цена: 4355 р.
Наличие на складе: Невозможна поставка.

Описание: The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Research Methods and Statistics in Psychology

Автор: Coolican Hugh
Название: Research Methods and Statistics in Psychology
ISBN: 1444170112 ISBN-13(EAN): 9781444170115
Издательство: Taylor&Francis
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Цена: 4960 р.
Наличие на складе: Поставка под заказ.

Описание: "Research Methods and Statistics in Psychology, sixth edition, provides comprehensive coverage of both quantitative and qualitative methods and statistics. The new edition has been updated to reflect recent software updates and advances in knowledge. This classic research methods text is an essential purchase for all psychology students studying at degree level and beyond"--

Teach yourself statistics

Автор: Graham, Alan
Название: Teach yourself statistics
ISBN: 0340966165 ISBN-13(EAN): 9780340966167
Издательство: Hodder Arnold
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Цена: 1319 р.
Наличие на складе: Нет в наличии.

Описание: Nearly all aspects of our lives can be subject to statistical analysis. Teach Yourself Statistics will show you how to interpret, analyse and present figures.

Statistics in Medicine,

Автор: Robert H. Riffenburgh
Название: Statistics in Medicine,
ISBN: 0123848644 ISBN-13(EAN): 9780123848642
Издательство: Elsevier Science
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Цена: 6598 р.
Наличие на складе: Невозможна поставка.

Описание: Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses.

Statistics: Principles and Methods, 7th Edition

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 29474 р.
Наличие на складе: Поставка под заказ.

Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Statistics for High-Dimensional Data

Автор: Peter B?hlmann; Sara van de Geer
Название: Statistics for High-Dimensional Data
ISBN: 3642268579 ISBN-13(EAN): 9783642268571
Издательство: Springer
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Цена: 14374 р.
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Описание: This valuable compendium of statistical methods features a unique combination of methodology, theory, algorithms and applications. It covers recently developed approaches to handling large and complex data sets, including the Lasso and boosting methods.

Applied Biclustering Methods for Big and High-Dimensional Data Using R

Автор: Kasim Adetayo, Shkedy Ziv, Kaiser Sebastian
Название: Applied Biclustering Methods for Big and High-Dimensional Data Using R
ISBN: 1482208237 ISBN-13(EAN): 9781482208238
Издательство: Taylor&Francis
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Цена: 10284 р.
Наличие на складе: Поставка под заказ.

Описание: Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix. The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.

Introduction to High-Dimensional Statistics

Автор: Giraud
Название: Introduction to High-Dimensional Statistics
ISBN: 1482237946 ISBN-13(EAN): 9781482237948
Издательство: Taylor&Francis
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Цена: 7622 р.
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Описание: Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.

Multivariate Statistics - High-Dimensional and Large-Sample Approximations

Автор: Fujikoshi
Название: Multivariate Statistics - High-Dimensional and Large-Sample Approximations
ISBN: 0470411694 ISBN-13(EAN): 9780470411698
Издательство: Wiley
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Цена: 15576 р.
Наличие на складе: Поставка под заказ.

Описание: Written by well-known, award-winning authors, this is the first book to focus on high-dimensional data analysis while presenting real-world applications and research material.

Analysis of Multivariate and High-Dimensional Data

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 7919 р.
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Описание: 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/graduate students in statistics and researchers in data-rich disciplines.

Naked Statistics: Stripping the Dread from the Data

Автор: Wheelan Charles
Название: Naked Statistics: Stripping the Dread from the Data
ISBN: 039334777X ISBN-13(EAN): 9780393347777
Издательство: Wiley
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Цена: 1715 р.
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Описание: "Brilliant, funny ... the best math teacher you never had."-San Francisco Chronicle

Data Quality And High-Dimensional Data Analytics - Proceedings Of The Dasfaa 2008

Автор: Chan Chee-Yong Et Al
Название: Data Quality And High-Dimensional Data Analytics - Proceedings Of The Dasfaa 2008
ISBN: 9814273481 ISBN-13(EAN): 9789814273480
Издательство: World Scientific Publishing
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Цена: 6072 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish.


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