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Exploratory Data Analysis with MATLAB, Third Edition, Martinez



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Автор: Martinez
Название:  Exploratory Data Analysis with MATLAB, Third Edition
ISBN: 9781498776066
Издательство: Taylor&Francis
Классификация:
ISBN-10: 149877606X
Обложка/Формат: Hardback
Страницы: 616
Вес: 1.038 кг.
Дата издания: 26.07.2017
Серия: Chapman & hall/crc computer science & data analysis
Язык: English
Издание: 3 revised edition
Иллюстрации: 16 illustrations, color; 84 illustrations, black and white
Размер: 160 x 237 x 40
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General
Основная тема: Statistical Computing
Ссылка на Издательство: Link
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Поставляется из: Англии



      Старое издание
Exploratory Data Analysis with MATLAB, Second Edition

Автор: Martinez
Название: Exploratory Data Analysis with MATLAB, Second Edition
ISBN: 1439812209 ISBN-13(EAN): 9781439812204
Издательство: Taylor&Francis
Цена: 9761 р.
Наличие на складе: Поставка под заказ.
Описание: Like its best-selling predecessor, this second edition continues to use numerous examples and applications to show how EDA methods are used in practice. This edition covers many innovative approaches for dimensionality reduction, clustering, and visualization, including nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, smoothing splines, probabilistic latent semantic analysis, spectral-based clustering, a rangefinder boxplot, scatterplots with marginal histograms, biplots, and Andrews’ images method. MATLAB® codes are available for download on the book’s website.


Bayesian Data Analysis, Third Edition

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
Рейтинг:
Цена: 13858 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Exploratory Data Analysis with MATLAB, Second Edition

Автор: Martinez
Название: Exploratory Data Analysis with MATLAB, Second Edition
ISBN: 1439812209 ISBN-13(EAN): 9781439812204
Издательство: Taylor&Francis
Рейтинг:
Цена: 9761 р.
Наличие на складе: Поставка под заказ.

Описание: Like its best-selling predecessor, this second edition continues to use numerous examples and applications to show how EDA methods are used in practice. This edition covers many innovative approaches for dimensionality reduction, clustering, and visualization, including nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, smoothing splines, probabilistic latent semantic analysis, spectral-based clustering, a rangefinder boxplot, scatterplots with marginal histograms, biplots, and Andrews’ images method. MATLAB® codes are available for download on the book’s website.

Exploratory data analysis with matlab

Автор: Martinez, Wendy L.
Название: Exploratory data analysis with matlab
ISBN: 1584883669 ISBN-13(EAN): 9781584883661
Издательство: Taylor&Francis
Рейтинг:
Цена: 7424 р.
Наличие на складе: Поставка под заказ.

Описание: Presents the methods of Exploratory Data Analysis (EDA) from a computational perspective. This book uses MATLAB code and algorithm descriptions to provide techniques for finding patterns and structure in data. It places the tools that are needed to implement EDA theory at the fingertips of applied mathematicians, and computer scientists.

Exploratory Multivariate Analysis by Example Using R, Second Edition

Автор: Husson
Название: Exploratory Multivariate Analysis by Example Using R, Second Edition
ISBN: 1138196347 ISBN-13(EAN): 9781138196346
Издательство: Taylor&Francis
Рейтинг:
Цена: 11686 р.
Наличие на складе: Поставка под заказ.

Описание:

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis.

The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the principles, indicators, and ways of representing and visualising objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods using examples from various fields, with related R code accessible in the FactoMineR package developed by the authors.

The book has been written using minimal mathematics so as to appeal to applied statisticians, as well as researchers from various disciplines, including medical research and the social sciences. Readers can use the theory, examples, and software presented in this book in order to be fully equipped to tackle real-life multivariate data.

Exploratory and Multivariate Data Analysis,

Автор: Michel Jambu
Название: Exploratory and Multivariate Data Analysis,
ISBN: 0123800900 ISBN-13(EAN): 9780123800909
Издательство: Elsevier Science
Рейтинг:
Цена: 6347 р.
Наличие на складе: Поставка под заказ.

Описание: With an index of notations at the beginning, this book explains the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. It also features a description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques.

Understanding Robust and Exploratory Data Analysis

Автор: David C. Hoaglin
Название: Understanding Robust and Exploratory Data Analysis
ISBN: 0471384917 ISBN-13(EAN): 9780471384915
Издательство: Wiley
Рейтинг:
Цена: 17188 р.
Наличие на складе: Поставка под заказ.

Описание: Originally published in hardcover in 1982, this book is now offered in a Wiley Classics Library edition. A contributed volume, edited by some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use exploratory data analysis and robust and resistant methods in statistical practice.

Exploratory Data Analysis in Empirical Research / Proceedings of the 25th Annual Conference of the Gesellschaft fГјr Klassifikation e.V., University of Munich, March 14-16, 2001

Автор: Schwaiger Manfred, Opitz Otto
Название: Exploratory Data Analysis in Empirical Research / Proceedings of the 25th Annual Conference of the Gesellschaft fГјr Klassifikation e.V., University of Munich, March 14-16, 2001
ISBN: 3540441832 ISBN-13(EAN): 9783540441830
Издательство: Springer
Рейтинг:
Цена: 17901 р.
Наличие на складе: Поставка под заказ.

Описание: Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.

Exploratory Multivariate Analysis by Example Using R

Автор: Husson
Название: Exploratory Multivariate Analysis by Example Using R
ISBN: 1439835802 ISBN-13(EAN): 9781439835807
Издательство: Taylor&Francis
Рейтинг:
Цена: 8799 р.
Наличие на складе: Поставка под заказ.

Описание: Full of real-world case studies and practical advice, this book focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis when variables are quantitative, correspondence analysis and multiple correspondence analysis when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. All of the data sets and code are available on the book’s website.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
Рейтинг:
Цена: 10036 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.

Bayesian Methods for Data Analysis, Third Edition

Автор: Carlin
Название: Bayesian Methods for Data Analysis, Third Edition
ISBN: 1584886978 ISBN-13(EAN): 9781584886976
Издательство: Taylor&Francis
Рейтинг:
Цена: 9211 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This proven text provides an accessible introduction to the foundations and applications of Bayesian analysis. Broadening its scope to nonstatisticians, this edition concentrates more on hierarchical Bayesian modeling as implemented via MCMC methods and related data analytic techniques. It contains a reader-friendly introduction to hierarchical statistical modeling, a new chapter on Bayesian design that emphasizes Bayesian clinical trials, a completely revised and expanded section on ranking and histogram estimation, and a new case study on infectious disease modeling and the 1918 flu epidemic. This edition includes new data examples, corresponding R and WinBUGS code, and exercises.

Conducting Meta-Analysis Using SAS

Автор: Arthur, Jr.
Название: Conducting Meta-Analysis Using SAS
ISBN: 0805838090 ISBN-13(EAN): 9780805838091
Издательство: Taylor&Francis
Рейтинг:
Цена: р.
Наличие на складе: Невозможна поставка.

Описание: This work covers topics such as meta-analysis of effect sizes, meta-analysis of correlations and conversion and transformation equations.

Conducting Meta-Analysis Using SAS

Автор: Arthur, Jr.
Название: Conducting Meta-Analysis Using SAS
ISBN: 0805839771 ISBN-13(EAN): 9780805839777
Издательство: Taylor&Francis
Рейтинг:
Цена: р.
Наличие на складе: Невозможна поставка.

Описание: This work covers topics such as meta-analysis of effect sizes, meta-analysis of correlations and conversion and transformation equations.


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