Conceptual and numerical analysis of data : proceedings of the 13th Conference of the Gesellschaft für Klassifikation e.V., University of Augsburg, April 10-12, 1989

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Conceptual and numerical analysis of data : proceedings of the 13th Conference of the Gesellschaft für Klassifikation e.V., University of Augsburg, April 10-12, 1989

Otto Opitz, editor

Springer-Verlag, 1989

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内容説明

The 13th conference of the Gesellschaft fUr Klassifikation e. V. took place at the Universitat Augsburg from April 10 to 12, 1989, with the' local organization by the Lehrstuhl fUr Mathematische Me thoden der Wirtschaftswissenschaften. The wide ranged subject of the conference Conceptual and Numerical Analysis of Data was obliged to indicate the variety of the concepts of data and information as well as the manifold methods of analysing and structuring. Based on the received announcements of papers four sections have been arranged: 1. Data Analysis and Classification: Basic Concepts and Methods 2. Applications in Library Sciences, Documentation and Information Sciences 3. Applications in Economics and Social Sciences 4. Applications in Natural Sciences and Computer Sciences This classification doesn't separate strictly, but it shows that theo retic and applying researchers of most different disciplines were disposed to present a paper. In 60 survey and special lectures the speakers reported on developments in theory and applications en couraging the interdisciplinary dialogue of all participants. This volume contains 42 selected papers grouped according to the four sections. Now we give a short insight into the presented papers. x Several problems of concept analysis, cluster analysis, data analysis and multivariate statistics are considered in 18 pa pers of section 1. The geometric representation of a concept lattice is a collection of figures in the plane corresponding to the given concepts in such a way that the subconcept-superconcept-relation corresponds to the containment relation between the figures. R.

目次

Section 1: Data Analysis and Classification: Basic Concepts and Methods.- Robustness of Estimation Methods against Small Sample Sizes and Nonnormality in Confirmatory Factor Analysis Models.- Probabilistic Aspects in Cluster Analysis.- Symbolic Cluster Analysis.- Analysis of Nonnormal Longitudinal Data with Generalized Linear Models.- Cluster Methods for Qualitative Data.- On Testing for and against Inequality Restrictions.- Evaluation of a Survey with Methods of Formal Concept Analysis.- A New Modification of the Rand Index for Comparing Partitions.- Relations between Models for Three-Way Factor Analysis and Multidimensional Scaling.- Algorithms in Multidimensional Scaling.- Extensions of Correspondence Analysis for the Statistical Exploration of Multidimensional Contingency Tables.- Numerical Classification of Biased Estimators.- An Agglomerative Algorithm of Overlapping Clustering.- Isotonic Regression - For a Monotone Index on a Hierarchy.- On the Interpretation of Median Relations.- Least Squares Approximation of Additive Trees.- Geometric Representation of Concept Lattices.- On Properties of Additive Tree Algorithms.- Section 2: Applications in Library Sciences, Documentation and Information Sciences.- Knowledge Structures and Knowledge Representation: Psychological Models of Conceptual Order.- Qualitative and Numerical Data in a Three-dimensional System.- New Concepts and Terms During the French Revolution. A Classification of the Neologisms According to their Origin.- Einige sprachliche Probleme bei der Arbeit an einer Klassifikation und deren Registern.- Data Analysis in Literary Studies.- Have Very Large Data Bases Methodological Relevance?.- Priority-Based Classification of Available Information - An Important Aspect of Future User Interfaces.- Section 3: Applications in Economics and Social Sciences.- Computer-Based and Quantitative Methods in Market Research.- Sample Techniques Used in Marketing Research.- Generalized Latent Class Analysis: A New Methodology for Market Structure Analysis.- The Use of the Logical Programming Language PROLOG as a Classification Method.- Classification and Selection of Consumer Purchase Behaviour Models.- Towards a New Socioeconomic Classification Scheme for Farm Households Using a Cluster Analysis Technique.- Identification of Multiple Criteria Decision Making.- Explorative Data Analysis and Macroeconomics.- A Microeconometric Study of Travelling Behaviour.- Inference Techniques in Decision Support Systems - Comparison and Example from Data Analysis.- Section 4: Applications in Natural Sciences and Computer Sciences.- The Classification of Organisms - The Hurdle of Homology -.- Limits in the Reconstruction of Phylogenetic Trees Exemplified with 5S rRNA Sequences.- The Concept of Information in Computer Science.- Exploring Homologous tRNA Sequence Data: Positional Mutation Rates and Genetic Distance.- Nucleotide Sequence Analysis of Conserved Genes from Bacteria.- An Analysis of Throughput Measurements on a Computer Network.- AC-Characteristics and the Pass/Fail Performance of a Memory Chip.- Authors.

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