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Applied multidimensional scaling /

Borg, Ingwer.

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Applied multidimensional scaling /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied multidimensional scaling // Ingwer Borg, Patrick J.F. Groenen, Patrick Mair.
作者:	Borg, Ingwer.
其他作者:	Groenen, Patrick J. F.
出版者:	Heidelberg ;Springer, : 2013.,
面頁冊數:	ix, 113 p. :ill. ;24 cm.
標題:	Multidimensional scaling. -
ISBN:	9783642318474 (pbk.) :
ISSN:	2191544X

Applied multidimensional scaling /
Borg, Ingwer.

Applied multidimensional scaling /Ingwer Borg, Patrick J.F. Groenen, Patrick Mair. - Heidelberg ;Springer,2013. - ix, 113 p. :ill. ;24 cm. - Springer Briefs in statistics. - SpringerBriefs in statistics..

Includes bibliographical references and indexes.

First steps --

This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.

ISBN: 9783642318474 (pbk.) :EUR39.95

ISSN: 2191544X

LCCN: 2012942918Subjects--Topical Terms:

565929
Multidimensional scaling.

LC Class. No.: BF39.2.M85 / B67 2013

Dewey Class. No.: 519.535

Applied multidimensional scaling /
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245 1 0 $a Applied multidimensional scaling / $c Ingwer Borg, Patrick J.F. Groenen, Patrick Mair.
260 # $a Heidelberg ; $a London : $b Springer, $c 2013.
300 $a ix, 113 p. : $b ill. ; $c 24 cm.
490 1 $a Springer Briefs in statistics
504 $a Includes bibliographical references and indexes.
505 0 # $t First steps -- $t The purpose of MDS -- $t The goodness of an MDS solution -- $t Proximities -- $t Variants of different MDS models -- $t Confirmatory MDS -- $t Typical mistakes in MDS -- $t MDS algorithms -- $t Computer programs for MDS.
520 # $a This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.
650 # 0 $a Multidimensional scaling. $3 565929
700 1 # $a Groenen, Patrick J. F. $3 2070403
700 1 # $a Mair, Patrick. $3 2070404
830 0 $a SpringerBriefs in statistics. $3 1565658