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Conceptual and Numerical Analysis of Data

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Cover of 'Conceptual and Numerical Analysis of Data'

Table of Contents

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    Book Overview
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    Chapter 1 Robustness of Estimation Methods against Small Sample Sizes and Nonnormality in Confirmatory Factor Analysis Models
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    Chapter 2 Probabilistic Aspects in Cluster Analysis
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    Chapter 3 Symbolic Cluster Analysis
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    Chapter 4 Analysis of Nonnormal Longitudinal Data with Generalized Linear Models
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    Chapter 5 Cluster Methods for Qualitative Data
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    Chapter 6 On Testing for and against Inequality Restrictions
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    Chapter 7 Evaluation of a Survey with Methods of Formal Concept Analysis
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    Chapter 8 A New Modification of the Rand Index for Comparing Partitions
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    Chapter 9 Relations between Models for Three-Way Factor Analysis and Multidimensional Scaling
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    Chapter 10 Algorithms in Multidimensional Scaling
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    Chapter 11 Extensions of Correspondence Analysis for the Statistical Exploration of Multidimensional Contingency Tables
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    Chapter 12 Numerical Classification of Biased Estimators
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    Chapter 13 An Agglomerative Algorithm of Overlapping Clustering
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    Chapter 14 Isotonic Regression — For a Monotone Index on a Hierarchy
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    Chapter 15 On the Interpretation of Median Relations
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    Chapter 16 Least Squares Approximation of Additive Trees
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    Chapter 17 Geometric Representation of Concept Lattices
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    Chapter 18 On Properties of Additive Tree Algorithms
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    Chapter 19 Knowledge Structures and Knowledge Representation: Psychological Models of Conceptual Order
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    Chapter 20 Qualitative and Numerical Data in a Three-dimensional System
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    Chapter 21 New Concepts and Terms During the French Revolution. A Classification of the Neologisms According to their Origin
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    Chapter 22 Einige sprachliche Probleme bei der Arbeit an einer Klassifikation und deren Registern
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    Chapter 23 Data Analysis in Literary Studies
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    Chapter 24 Have Very Large Data Bases Methodological Relevance?
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    Chapter 25 Priority-Based Classification of Available Information — An Important Aspect of Future User Interfaces —
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    Chapter 26 Computer-Based and Quantitative Methods in Market Research
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    Chapter 27 Sample Techniques Used in Marketing Research
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    Chapter 28 Generalized Latent Class Analysis: A New Methodology for Market Structure Analysis
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    Chapter 29 The Use of the Logical Programming Language PROLOG as a Classification Method
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    Chapter 30 Classification and Selection of Consumer Purchase Behaviour Models
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    Chapter 31 Towards a New Socioeconomic Classification Scheme for Farm Households Using a Cluster Analysis Technique
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    Chapter 32 Identification of Multiple Criteria Decision Making
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    Chapter 33 Explorative Data Analysis and Macroeconomics
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    Chapter 34 A Microeconometric Study of Travelling Behaviour
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    Chapter 35 Inference Techniques in Decision Support Systems — Comparison and Example from Data Analysis
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    Chapter 36 The Classification of Organisms — The Hurdle of Homology —
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    Chapter 37 Limits in the Reconstruction of Phylogonetic Trees Exemplified with 5S rRNA Sequences
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    Chapter 38 The Concept of Information in Computer Science
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    Chapter 39 Exploring Homologous tRNA Sequence Data: Positional Mutation Rates and Genetic Distance
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    Chapter 40 Nucleotide Sequence Analysis of Conserved Genes from Bacteria
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    Chapter 41 An Analysis of Throughput Measurements on a Computer Network
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    Chapter 42 AC-Characteristics and the Pass/Fail Performance of a Memory Chip
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Title
Conceptual and Numerical Analysis of Data
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-75040-3
ISBNs
978-3-54-051641-5, 978-3-64-275040-3
Editors

Optiz, Otto

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The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%