Buch, Englisch, 328 Seiten, Format (B × H): 160 mm x 234 mm, Gewicht: 612 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Buch, Englisch, 328 Seiten, Format (B × H): 160 mm x 234 mm, Gewicht: 612 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
ISBN: 978-1-58488-094-3
Verlag: Taylor & Francis Inc
Multidimensional scaling covers a variety of statistical techniques in the area of multivariate data analysis. Geared toward dimensional reduction and graphical representation of data, it arose within the field of the behavioral sciences, but now holds techniques widely used in many disciplines. Multidimensional Scaling, Second Edition extends the popular first edition and brings it up to date. It concisely but comprehensively covers the area, summarizing the mathematical ideas behind the various techniques and illustrating the techniques with real-life examples. A computer disk containing programs and data sets accompanies the book.
Zielgruppe
Statisticians, Professors, Students
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
Weitere Infos & Material
INTRODUCTIONIntroductionA Look at Data and ModelsProximitiesMatrix ResultsMETRIC MULTIDIMENSIONAL SCALINGIntroductionClassical ScalingRobustnessMetric Least Squares ScalingCritchley's Intermediate MethodUnidimensional ScalingGrouped DissimilaritiesInverse ScalingNONMETRIC MULTIDIMENSIONAL SCALINGIntroductionKruskal's ApproachThe Gutman ApproachA Further Look at StressHow Many Dimensions?Starting ConfigurationsInteresting Axes in the ConfigurationFURTHER ASPECTS OF MULTIDIMENSIONAL SCALINGOther Formulations of MDSMDS DiagnosticsRobust MDSInteractive MDSDynamic MDSConstrained MDSStatistical Inference for MDSAsymmetric DissimilaritiesPROCRUSTES ANALYSISIntroductionProcrustes AnalysisHistoric MapsSome GeneralizationsMONKEYS, WHISKY, AND OTHER APPLICATIONSIntroductionMonkeysWhiskyAeroplanesYoghurtsBeesBIPLOTSIntroductionThe Classic BiplotAnother ApproachCategorical VariablesUNFOLDINGIntroductionNonmetric Unidimensional UnfoldingNonmetric Multidimensional UnfoldingMetric Multidimensional UnfoldingCORRESPONDENCE ANALYSISIntroductionAnalysis of Two-Way Contingency TablesThe Theory of Correspondence AnalysisReciprocal AveragingMultiple Correspondence AnalysisINDIVIDUAL DIFFERENCES MODELSIntroductionThe Tucker-Messick ModelINDSCALIDIOSCALPINDISALSCAL, SMACOF, AND GIFIALSCALSMACOFGIFIFURTHER m-MODE, n-WAY MODELSCANDECOMP, PARAFAC, and CANDELINCDIDICOM and GIPSCALThe Tucker ModelsOne-Mode, n-Way ModelsTwo-Mode, Three-Way Asymmetric ScalingThree-Way UnfoldingAPPENDIXComputer ProgramsThe Accompanying DisketteThe Data ProvidedTo Manipulate and Analyze DataInputting User DataError MessagesREFERENCES.
