Multiple Factor Analysis by Example Using R, Pages
Автор: Chatterjee, Samprit Hadi, Ali S. Название: Regression analysis by example ISBN: 0471746967 ISBN-13(EAN): 9780471746966 Издательство: Wiley Цена: 11956 р. Наличие на складе: Поставка под заказ.
Описание: Regression analysis is a conceptually simple method for investigating relationships among variables. This book offers a treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. It is suitable for those with an understanding of elementary statistics.
Автор: Vetterling William T., Teukolsky Saul A., Press William H. Название: Numerical Recipes in FORTRAN 77 Example Book ISBN: 0521437210 ISBN-13(EAN): 9780521437219 Издательство: Cambridge Academ Рейтинг: Цена: 5340 р. Наличие на складе: Поставка под заказ.
Описание: The example books published as part of the Numerical Recipes second edition series contain source programs that exercise and demonstrate all of the Numerical Recipes subroutines.
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.
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.
Автор: Abell, Martha Название: Mathematica by Example ISBN: 0128124814 ISBN-13(EAN): 9780128124819 Издательство: Elsevier Science Рейтинг: Цена: 10158 р. Наличие на складе: Поставка под заказ.
Описание: Mathematica by Example, Fifth Edition is an essential desk reference for the beginning Mathematica user, providing step-by-step instructions on achieving results from this powerful software tool. The book fully accounts for the dramatic changes to functionality and visualization capabilities in the most recent version of Mathematica (10.4). It accommodates the full array of new extensions in the types of data and problems that Mathematica can immediately handle, including cloud services and systems, geographic and geometric computation, dynamic visualization, interactive applications and other improvements. It is an ideal text for scientific students, researchers and aspiring programmers seeking further understanding of Mathematica. . Written by seasoned practitioners with a view to practical implementation and problem-solving, the book's pedagogy is delivered clearly and without jargon using representative biological, physical and engineering problems. Code is provided on an ancillary website to support the use of Mathematica across diverse applications.
Описание: The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration. New to this edition: Step-by-step SPSS instructions have been integrated into every example. An all-new chapter describes the three methods used by SPSS to create graphics. A new Chapter 10 on Factor Analysis has been added. Examples in every chapter have been enhanced with added discussion and more detail. Additional screen shots and a redesigned format make the book easier to read and information easier to locate. All examples have been updated to reflect features in the latest version of SPSS.
Автор: Samprit Chatterjee Название: Regression Analysis by Example, 3rd Edition ISBN: 0471319465 ISBN-13(EAN): 9780471319467 Издательство: Wiley Цена: 9756 р. Наличие на складе: Поставка под заказ.
Описание: A variety of ideas and methods of regression analysis are explored with the aid of realistic examples tt highlight the analysis of data and include irregularities similar to those encountered in practice. Recent advances in regression diagnostics are covered with emphasis on plots such as component plus residual, added variable, sequence, along with index plots for leverage and function. The authors utilize standard and some not so standard summary statistics on the basis of their intuitive appeal to demonstrate concepts. The majority of analyses described are available in software packages on the market today.
Автор: Bisgaard Soren, Bisgaard S?ren, Kulahci Murat Название: Time Series Analysis and Forecasting by Example ISBN: 0470540648 ISBN-13(EAN): 9780470540640 Издательство: Wiley Рейтинг: Цена: 17050 р. Наличие на складе: Поставка под заказ.
Описание: Times Series Analysis and Forecasting presents seemingly difficult techniques and methodologies in an insightful and application-based way. Through a hands-on and user-friendly approach, this text includes exercises, graphical techniques, examples, excel spreadsheets, and software applications on time series analysis.
Автор: Upton Название: Categorical Data Analysis by Example ISBN: 1119307864 ISBN-13(EAN): 9781119307860 Издательство: Wiley Рейтинг: Цена: 10993 р. Наличие на складе: Поставка под заказ.
Описание: Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose.
Автор: Anderson Faye Название: Time Series Analysis by Example ISBN: 1542990300 ISBN-13(EAN): 9781542990301 Издательство: Неизвестно Рейтинг: Цена: 6598 р. Наличие на складе: Поставка под заказ.
Описание: This book provides introductory to advanced examples of how to use and interpret statistical analyses especially those related to time series data. The book contains real-life comprehensive examples that will suffice the user to complete their analyses. This book also addresses common mistakes and myths when applying and interpreting statistical analyses. It also provides road maps in the form of flowcharts on how to proceed from one analysis to the next.In this book you will learn:
Автор: Cody Ron Название: SAS Functions by Example ISBN: 1607643405 ISBN-13(EAN): 9781607643401 Издательство: Неизвестно Рейтинг: Цена: 12945 р. Наличие на складе: Поставка под заказ.
Описание: Fully updated for SAS 9.2, Ron Cody's SAS Functions by Example, Second Edition, is a must-have reference for anyone who programs in Base SAS. With the addition of functions new to SAS 9.2, this comprehensive reference manual now includes more than 200 functions, including new character, date and time, distance, probability, sort, and special functions. This new edition also contains more examples for existing functions and more details concerning optional arguments. Like the first edition, the new edition also includes a list of SAS programs, an alphabetic list of all the functions in the book, and a comprehensive index of functions and tasks. Beginning and experienced SAS users will benefit from this useful reference guide to SAS functions. This book is part of the SAS Press program.
Автор: Suhov Название: Probability and Statistics by Example ISBN: 0521847672 ISBN-13(EAN): 9780521847674 Издательство: Cambridge Academ Рейтинг: Цена: 15475 р. Наличие на складе: Поставка под заказ.
Описание: Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science andengineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasising modelsrather than general constructions. Basic mathematical facts are supplied as and when they are needed andhistorical information is sprinkled throughout.
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