This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.).
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.).

Applied Multidimensional Scaling and Unfolding

Applied Multidimensional Scaling and Unfolding
eBook(2nd ed. 2018)
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Product Details
ISBN-13: | 9783319734712 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 05/16/2018 |
Series: | SpringerBriefs in Statistics |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 3 MB |