Statistical application using fuzzy sets

Describes and illustrates the use of fuzzy ``partition'' statistical methods, based on fuzzy set mathematical principles, as a means of analyzing high dimensional data with categorical responses. Statistical procedures such as estimation, testing of hypotheses and goodness of fit evaluatio...

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Bibliographic Details
Main Author: Manton, Kenneth G (Author)
Other Authors: Woodbury, Max A, Tolley, H. Dennis 1946-
Format: Book
Language:English
Published: New York J. Wiley 1994
@1994
Series:Wiley series in probability and mathematical statistics.
Subjects:
Online Access:Click Here to View Status and Holdings.
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100 1 # |a Manton, Kenneth G  |e author 
245 1 1 |a Statistical application using fuzzy sets  |c Kenneth G. Manton, Max A. Woodbury, H. Dennis Tolley 
264 # 1 |a New York  |b J. Wiley  |c 1994 
264 # 1 |c @1994 
300 # # |a xi, 312 pages  |b illustrations  |c 25 cm 
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490 1 # |a Wiley series in probability and mathematical statistics.  |p Probability amd mathematical statistics 
500 # # |a "A Wiley-Interscience publication." 
504 # # |a Includes bibliographical references and index 
520 # # |a Describes and illustrates the use of fuzzy ``partition'' statistical methods, based on fuzzy set mathematical principles, as a means of analyzing high dimensional data with categorical responses. Statistical procedures such as estimation, testing of hypotheses and goodness of fit evaluation are based upon maximum likelihood principles adapted to fuzzy set mathematics and logic. 
650 # 0 |a Fuzzy sets 
650 # 0 |a Mathematical statistics 
700 1 # |a Woodbury, Max A 
700 # # |a Tolley, H. Dennis  |c 1946- 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=133108 
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