Minimal damage to cover and binding. Pages show light use. Bookseller Inventory #
Synopsis: To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book,in two volumes,describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on so called projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Volume 1: Basic Principles and Applications Authors: The six authors are all connected to the Umetrics company (www.umetrics.com) which develops and sells software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medim sized companies in the pharmaceutical, chemical, and semiconductor sectors.
Title: Multivariate and Megavariate Data Analysis ...
Book Condition: Good
Book Description Umetrics. Condition: Good. A sound copy with only light wear. Overall a solid copy at a great price! All orders guaranteed and ship within 24 hours. Before placing your order for please contact us for confirmation on the book's binding. Check out our other listings to add to your order for discounted shipping. Seller Inventory # WAL-D-4f-000533
Book Description Umetrics, 2006. Condition: Good. A+ Customer service! Satisfaction Guaranteed! Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Seller Inventory # 9197373028-2-4
Book Description Umetrics, 2006. Paperback. Condition: Very Good. Great condition with minimal wear, aging, or shelf wear. Seller Inventory # P029197373028
Book Description Umetrics, 2006. Paperback. Condition: Like New. Almost new condition. Seller Inventory # P019197373028
Book Description Umetrics, 2006. Paperback. Condition: New. Never used!. Seller Inventory # P119197373028
Book Description Umetrics, 2006. Condition: New. book. Seller Inventory # M9197373028