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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 / edited by Otto Optiz

データ種別 電子ブック
出版者 Berlin, Heidelberg : Springer Berlin Heidelberg
出版年 1989
本文言語 英語
大きさ XXV, 530 p : online resource

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EB0097284

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内容注記 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
一般注記 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
著者標目 Optiz, Otto editor
SpringerLink (Online service)
件 名 LCSH:Statistics
LCSH:Operations research
LCSH:Decision making
LCSH:Data structures (Computer science)
LCSH:Economic theory
FREE:Statistics
FREE:Statistics for Business/Economics/Mathematical Finance/Insurance
FREE:Operation Research/Decision Theory
FREE:Data Structures
FREE:Economic Theory/Quantitative Economics/Mathematical Methods
分 類 DC23:330.015195
巻冊次 ISBN:9783642750403 REFWLINK
ISBN 9783642750403
URL http://dx.doi.org/10.1007/978-3-642-75040-3
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