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Mathematical statistics --- Statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistics.
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519.2 --- 519.237 --- #SBIB:303H523 --- #WPLT:dd.Prof.F.Symons --- Probability. Mathematical statistics --- Multivariate statistical methods --- Methoden sociale wetenschappen: associatie, correlatie --- Theses --- 519.237 Multivariate statistical methods --- 519.2 Probability. Mathematical statistics
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Programming --- Quantitative methods in social research --- Mathematical statistics --- SPSS (statistical package for the social sciences) --- Scaling (Social sciences) --- Social sciences --- -Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Scale analysis (Social sciences) --- Scales of measurement --- Statistical methods --- -Computer programs --- Methodology --- Computer programs. --- -Statistical methods --- Scaling (Social sciences).
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Providea a comprehensive and self-contained review delineating a very general DP paradigm or schema that can serve two functions. First, the paradigm can be applied in various special forms to encompass all previously proposed applications suggested in the classification literature. Second, the paradigm can lead directly to many more novel uses.
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The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions within a MATLAB computational environment, affecting various structural representations for the proximity information that is assumed to be available on a set of objects. The representations included in the book have been developed primarily in the behavioral sciences and applied statistical literature, although interest in these topics now extends more widely to such fields as bioinformatics and chemometrics. This book is divided into three main sections, each based on the general class of representations being discussed. Part I develops linear and circular unidimensional and multidimensional scaling using the city-block metric as the major representational device. Part II discusses characterizations based on various graph-theoretic tree structures, specifically those referred to as ultrametrics and additive trees. Part III uses representations defined solely by order properties, particularly emphasizing what are called (strongly) anti-Robinson forms.
Functions. --- Proximity matrices. --- Representations of graphs. --- MATLAB.
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