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Introduction to High-Dimensional Statistics, Giraud



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Цена: 9908р.
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Автор: Giraud
Название:  Introduction to High-Dimensional Statistics
Перевод названия: Жиро: Введение в многомерную статистику
ISBN: 9781482237948
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1482237946
Обложка/Формат: Hardback
Страницы: 270
Вес: 0.552 кг.
Дата издания: 07.01.2015
Серия: Chapman & hall/crc monographs on statistics and applied probability
Язык: English
Иллюстрации: Scatter color on pages 2, 186, 204 and 206; 2 tables, black and white; 33 illustrations, black and white
Размер: 243 x 173 x 17
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, BUSINESS & ECONOMICS / Statistics,COMPUTERS / Machine Theory,MATHEMATICS / Probability & Statistics / General
Основная тема: Statistical Theory & Methods
Ссылка на Издательство: Link
Рейтинг:
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.


      Новое издание
Introduction to High-Dimensional Statistics

Автор: Giraud Christophe
Название: Introduction to High-Dimensional Statistics
ISBN: 0367716224 ISBN-13(EAN): 9780367716226
Издательство: Taylor&Francis
Цена: 12897 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: This book preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities.


An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
Рейтинг:
Цена: 30021 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Statistics: An Introduction using R

Автор: Michael J. Crawley
Название: Statistics: An Introduction using R
ISBN: 0470022981 ISBN-13(EAN): 9780470022986
Издательство: Wiley
Рейтинг:
Цена: 5139 р.
Наличие на складе: Поставка под заказ.

Описание: Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing.
*Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology.
*Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data.
*The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing.
*Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
*Includes numerous worked examples and exercises within each chapter.
Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

An Introduction to Medical Statistics 4th Edition

Автор: Bland, Martin (Professor of Health Statistics, Professor of Health Statistics, University of York)
Название: An Introduction to Medical Statistics 4th Edition
ISBN: 0199589925 ISBN-13(EAN): 9780199589920
Издательство: Oxford Academ
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Цена: 9095 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An Introduction to Medical Statistics, fourth edition, is a `must-have` textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statistical methods seen in published research and guidelines, as well as how to interpret and analyse statistics for clinical practice.

Introduction To The Theory of Statistics

Автор: Mood
Название: Introduction To The Theory of Statistics
ISBN: 0070854653 ISBN-13(EAN): 9780070854659
Издательство: McGraw-Hill
Рейтинг:
Цена: 9293 р.
Наличие на складе: Невозможна поставка.

Описание: A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year`s course in calculus with no prior knowledge of statistics or probability. Third revised edition.

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
Рейтинг:
Цена: 38317 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
Рейтинг:
Цена: 18366 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Statistics for High Dimensional Data

Автор: B?hlmann
Название: Statistics for High Dimensional Data
ISBN: 3642201911 ISBN-13(EAN): 9783642201912
Издательство: Springer
Рейтинг:
Цена: 18366 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

An Introduction to the Bootstrap

Автор: Efron
Название: An Introduction to the Bootstrap
ISBN: 0412042312 ISBN-13(EAN): 9780412042317
Издательство: Taylor&Francis
Рейтинг:
Цена: 23595 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.


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