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Quantitative Applications in the Social Sciences #11: Multidimensional Scaling

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Quantitative Applications in the Social Sciences #11: Multidimensional Scaling Cover

ISBN13: 9780803909403
ISBN10: 0803909403
Condition:
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Synopses & Reviews

Synopsis:

Outlines a set of techniques that enable a researcher to discuss the hidden structure of large data bases. These techniques use proximities, measures which indicate how similar or different objects are, to find a configuration of points which reflects the structure in the data.

Synopsis:

Outlines a set of techniques that enables a researcher to explore the hidden structure of large databases. These techniques use proximities to find a configuration of points that reflect the structure in the data.

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luluaisyah, May 26, 2009 (view all comments by luluaisyah)
i want this book, but i can't buy.. :(
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Product Details

ISBN:
9780803909403
Introduction:
Uslaner, Eric M.
Author:
Wish, Myron
Introduction by:
Uslaner, Eric M.
Introduction:
Uslaner, Eric M.
Author:
Kruskal, Joseph B.
Publisher:
Sage Publications (CA)
Subject:
General
Subject:
Data processing
Subject:
Research
Subject:
Mathematics - General
Series:
Quantitative Applications in the Social Sciences
Series Volume:
11
Publication Date:
19780131
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
96
Dimensions:
8.48x5.54x.22 in. .26 lbs.

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Related Subjects

History and Social Science » Politics » General
History and Social Science » Sociology » Reference and Methodology
History and Social Science » World History » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Quantitative Applications in the Social Sciences #11: Multidimensional Scaling New Trade Paper
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$20.50 In Stock
Product details 96 pages Sage Publications - English 9780803909403 Reviews:
"Synopsis" by , Outlines a set of techniques that enable a researcher to discuss the hidden structure of large data bases. These techniques use proximities, measures which indicate how similar or different objects are, to find a configuration of points which reflects the structure in the data.
"Synopsis" by , Outlines a set of techniques that enables a researcher to explore the hidden structure of large databases. These techniques use proximities to find a configuration of points that reflect the structure in the data.
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