aam a22 4500
210120
210120
180905b1986 ||||| |||| 00| 0 eng d
9780824776176
511.6
H8A8
Hubert, Lawrence J.
369410
Assignment methods in combinatorial data analysis
Marcel Dkker
1986
New York
x, 326 p.
Statistics, textbooks and monographs
369411
For the first time in one text, this handy pedagogical reference presents comprehensive inference strategies for organizing disparate nonparametric statistics topics under one scheme, illustrating ways of analyzing data sets based on generic notions of proximity (of "closeness") between objects. Assignment Methods in Combinatorial Data Analysis specifically reviews both linear and quadratic assignment models ... covers extensions to multiple object sets and higher-order assignment indices ... considers methods of applying linear assignment models in common data analysis contexts ... discusses a second motion of assignment (or "matching") based upon pairs of objects ... explores confirmatory methods of augmenting multidimensional sealing, cluster analysis, and related techniques ... labels sections in order of priority for continuity and convenience ... and includes extensive bibliographies of related literature. Assignment Methods in Combinatorial Data Analysis gives authoritative coverage of statistical testing, and measures of association in a single source. It is required reading and an invaluable reference for researchers and graduate students in the behavioral and social sciences using quantitative methods of data representation.
Statistics
369412
Linear Assignment Model (LAM)
369414
Quadratic Assignment Model (QAM)
369415
Combinatorial analysis
369416
Linear models (Statistics)
369413
ddc
BK
0
0
ddc
0
511_600000000000000_H8A8
0
NFIC
355043
VSL
VSL
GEN
2018-09-05
71
6.00
2
1
511.6 H8A8
197617
2019-02-26
2018-10-25
8386.00
BK