Author: Brian Everitt
Publisher: Hodder Arnold
ISBN: 9780340677766
Category : Cluster analysis
Languages : en
Pages : 178
Book Description
Our hope is that the material contained in the book will be a helpful introduction to this area for research workers, who are not primarily statisticians but who collect and wish to analyse proximity data, and also to applied statisticians interested in the underlying methodology. You may also be interested in our website supporting the complete series of Kendall's Library of Statistics: www.kendallslibrary.com. Here you will find details on the latest publications, sample chapters and ordering information.
The Analysis of Proximity Data
Author: Brian Everitt
Publisher: Hodder Arnold
ISBN: 9780340677766
Category : Cluster analysis
Languages : en
Pages : 178
Book Description
Our hope is that the material contained in the book will be a helpful introduction to this area for research workers, who are not primarily statisticians but who collect and wish to analyse proximity data, and also to applied statisticians interested in the underlying methodology. You may also be interested in our website supporting the complete series of Kendall's Library of Statistics: www.kendallslibrary.com. Here you will find details on the latest publications, sample chapters and ordering information.
Publisher: Hodder Arnold
ISBN: 9780340677766
Category : Cluster analysis
Languages : en
Pages : 178
Book Description
Our hope is that the material contained in the book will be a helpful introduction to this area for research workers, who are not primarily statisticians but who collect and wish to analyse proximity data, and also to applied statisticians interested in the underlying methodology. You may also be interested in our website supporting the complete series of Kendall's Library of Statistics: www.kendallslibrary.com. Here you will find details on the latest publications, sample chapters and ordering information.
Methods for the Analysis of Asymmetric Proximity Data
Author: Giuseppe Bove
Publisher: Springer Nature
ISBN: 9811631727
Category : Mathematics
Languages : en
Pages : 203
Book Description
This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,...), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.
Publisher: Springer Nature
ISBN: 9811631727
Category : Mathematics
Languages : en
Pages : 203
Book Description
This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,...), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.
Unfolding analysis of proximity data
Unfolding Analysis of Proximity Data
Author: Willem Jan Heiser
Publisher:
ISBN:
Category : Psychometrics
Languages : en
Pages : 273
Book Description
Publisher:
ISBN:
Category : Psychometrics
Languages : en
Pages : 273
Book Description
Proximity and Preference
Author: Reginald G. Golledge
Publisher: U of Minnesota Press
ISBN: 1452911320
Category :
Languages : en
Pages : 357
Book Description
Publisher: U of Minnesota Press
ISBN: 1452911320
Category :
Languages : en
Pages : 357
Book Description
Proximity and Preference
Author: Reginald G. Golledge
Publisher:
ISBN: 9780783729558
Category :
Languages : en
Pages : 351
Book Description
Publisher:
ISBN: 9780783729558
Category :
Languages : en
Pages : 351
Book Description
Proximity and Preference
Author: Reginald G. Golledge
Publisher: U of Minnesota Press
ISBN: 9780816610426
Category : Geographical perception
Languages : en
Pages : 310
Book Description
Publisher: U of Minnesota Press
ISBN: 9780816610426
Category : Geographical perception
Languages : en
Pages : 310
Book Description
The Analysis of Skew-symmetry in Proximity and Dominance Data
A New Multidimensional Scaling Methodology for the Analysis of Asymmetric Proximity Data in Marketing Research
Author: Wayne DeSarbo
Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 68
Book Description
Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 68
Book Description
A New Multidimensional Scaling Methodology for the Analysis of Asymmetric Proximity Data in Marketing Research
Author: Wayne S. DeSarbo
Publisher:
ISBN:
Category :
Languages : en
Pages : 21
Book Description
This paper presents a new multidimensional scaling (MDS) methodology which operationalizes the Krumhansl (1978) distance-density model for the analysis of asymmetric proximity data. In Krumhansl's conceptualization, the symmetric Euclidean interbrand distances typically associated with the traditional MDS model are augmented by the spatial density around the brands in the derived space. This modification allows the distance-density model to accommodate many of the empirically observed violations of the metric axioms (such as asymmetry). An operationalization of the distance-density model is particularly attractive to marketers who often work with asymmetric brand switching data to investigate market structure and competition. We describe this new MDS procedure which is sufficiently flexible to fit a number of competing hypotheses of proximity. The algorithm employed for estimation is technically presented together with various program options. An analysis of an asymmetric brand switching matrix for automobiles is presented to illustrate the methodology. The results of this analysis are also compared with the solutions obtained from several of the currently available procedures for handling asymmetric proximity data. Finally, technical extensions to three-way analyses, hybrid models, etc., are discussed.
Publisher:
ISBN:
Category :
Languages : en
Pages : 21
Book Description
This paper presents a new multidimensional scaling (MDS) methodology which operationalizes the Krumhansl (1978) distance-density model for the analysis of asymmetric proximity data. In Krumhansl's conceptualization, the symmetric Euclidean interbrand distances typically associated with the traditional MDS model are augmented by the spatial density around the brands in the derived space. This modification allows the distance-density model to accommodate many of the empirically observed violations of the metric axioms (such as asymmetry). An operationalization of the distance-density model is particularly attractive to marketers who often work with asymmetric brand switching data to investigate market structure and competition. We describe this new MDS procedure which is sufficiently flexible to fit a number of competing hypotheses of proximity. The algorithm employed for estimation is technically presented together with various program options. An analysis of an asymmetric brand switching matrix for automobiles is presented to illustrate the methodology. The results of this analysis are also compared with the solutions obtained from several of the currently available procedures for handling asymmetric proximity data. Finally, technical extensions to three-way analyses, hybrid models, etc., are discussed.