Shopping cart
Pieter M. Kroonenberg - Applied Multiway Data Analysis - 9780470164976 - V9780470164976
Stock image for illustration purposes only - book cover, edition or condition may vary.

Applied Multiway Data Analysis

€ 180.78
FREE Delivery in Ireland
Description for Applied Multiway Data Analysis Hardcover. This book covers the most common methods for analyzing single, double, three-way and multi-way data. Geared towards applications and the decisions that have to be made to get meaningful analyses, it presents a variety of models illustrated using commercially available software. Series: Wiley Series in Probability and Statistics. Num Pages: 580 pages, Illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 35. Weight in Grams: 1004.
From a preeminent authority—a modern and applied treatment of multiway data analysis

This groundbreaking book is the first of its kind to present methods for analyzing multiway data by applying multiway component techniques. Multiway analysis is a specialized branch of the larger field of multivariate statistics that extends the standard methods for two-way data, such as component analysis, factor analysis, cluster analysis, correspondence analysis, and multidimensional scaling to multiway data. Applied Multiway Data Analysis presents a unique, thorough, and authoritative treatment of this relatively new and emerging approach to data analysis that is applicable across a range of fields, ... Read more

General introductions to multiway data types, methods, and estimation procedures are provided in addition to detailed explanations and advice for readers who would like to learn more about applying multiway methods. Using carefully laid out examples and engaging applications, the book begins with an introductory chapter that serves as a general overview of multiway analysis, including the types of problems it can address. Next, the process of setting up, carrying out, and evaluating multiway analyses is discussed along with commonly encountered issues, such as preprocessing, missing data, model and dimensionality selection, postprocessing, and transformation, as well as robustness and stability issues.

Extensive examples are presented within a unified framework consisting of a five-step structure: objectives; data description and design; model and dimensionality selection; results and their interpretation; and validation. Procedures featured in the book are conducted using 3WayPack, which is software developed by the author, and analyses can also be carried out within the R and MATLAB systems. Several data sets and 3WayPack can be downloaded via the book's related Web site.

The author presents the material in a clear, accessible style without unnecessary or complex formalism, assuring a smooth transition from well-known standard two-analysis to multiway analysis for readers from a wide range of backgrounds. An understanding of linear algebra, statistics, and principal component analyses and related techniques is assumed, though the author makes an effort to keep the presentation at a conceptual, rather than mathematical, level wherever possible. Applied Multiway Data Analysis is an excellent supplement for component analysis and statistical multivariate analysis courses at the upper-undergraduate and beginning graduate levels. The book can also serve as a primary reference for statisticians, data analysts, methodologists, applied mathematicians, and social science researchers working in academia or industry.

Visit the Related Website: http://three-mode.leidenuniv.nl/, to view data from the book.

Show Less

Product Details

Publication date
John Wiley and Sons Ltd United Kingdom
Number of pages
Wiley Series in Probability and Statistics
Number of Pages
Place of Publication
, United States
Shipping Time
Usually ships in 7 to 11 working days

About Pieter M. Kroonenberg
Pieter M. Kroonenberg, PhD, is Professor of Multivariate Analysis in the Department of Education and Child Studies at Leiden University in the Netherlands. He has over thirty years of academic and consulting experience and has published over fifty articles on the subject of three-mode data analysis.

Reviews for Applied Multiway Data Analysis
"All topics are well illustrated with good examples from a fairly wide range of applications... the book’s usefulness is enhanced by a glossary of multiway terminology, a good index and references to extension work... this is a well-crafted and highly readable book." (Journal of the Royal Statistical Society- Series A, 2009) “All in all, Kroonenberg’s book constitutes an extremely ... Read more

Goodreads reviews for Applied Multiway Data Analysis

Subscribe to our newsletter

News on special offers, signed editions & more!