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Measurement and Multivariate Analysis

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Cover of 'Measurement and Multivariate Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Categories and Quantities
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    Chapter 2 Questionnaire Construction, Data Collection and Data Analysis: An Approach by the Idea of Data Science
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    Chapter 3 Measurement and Multivariate Analysis
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    Chapter 4 An Intelligent Clustering Technique Based on Dual Scaling
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    Chapter 5 Homogeneity and Smoothness Analysis for Quantifying a Longitudinal Categorical Variable
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    Chapter 6 Partial Multiple Correspondence Analysis
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    Chapter 7 Studying Triadic Distance Models Under a Likelihood Function
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    Chapter 8 A Generalized Modification of Scheffé’s Paired Comparisons: A theoretical approach to decrease the number of experiments
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    Chapter 9 Analysing Dependence in Large Contingency Tables: NonSymmetric Correspondence Analysis and Regression with Optimal Scaling
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    Chapter 10 Multidimensional Scaling with Different Orientations of Dimensions for Symmetric and Asymmetric Relationships
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    Chapter 11 Complex Space Models for the Analysis of Asymmetry
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    Chapter 12 Structural Equation Modeling by Extended Redundancy Analysis
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    Chapter 13 Redundancy Index in Canonical Correlation Analysis with Linear Constraints
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    Chapter 14 Regularized Kernel Discriminant Analysis with Optimally Scaled Data
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    Chapter 15 Dimension Reduction in Hierarchical Linear Models
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    Chapter 16 Time Dependent Principal Component Analysis
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    Chapter 17 Borrowing Strength from Images to Facilitate Exploratory Structural Analysis of Binary Variables
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    Chapter 18 Comparison of Construct Mean Scores Across Populations: A Conceptual Framework
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    Chapter 19 Nonlinear Generalized Canonical Correlation Analysis by Neural Network Models
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    Chapter 20 Simultaneous Estimation of a Mean Vector Based on Mean Conjugate Priors
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    Chapter 21 Using Several Data to Structure Efficient Estimation of Intraclass Correlation Coefficients
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    Chapter 22 Bayesian Analysis of Structural Equation Modeling
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    Chapter 23 Estimation of the Fifth Percentile Using a Subset of Order Statistics
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    Chapter 24 On Usefulness of Maximum Likelihood Estimator Using Incomplete Data
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    Chapter 25 Sensitivity Analysis in Semiparametric Regression Models
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    Chapter 26 Cohort Analysis of Data Obtained Using a Multiple Choice Question
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    Chapter 27 Mining Web Navigation Path Fragments
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    Chapter 28 Measures and Admissibilities for the Structure of Clustering
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    Chapter 29 Multivariate Regressions, Genetic Algorithms, and Information Complexity: A Three Way Hybrid
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    Chapter 30 Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods
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    Chapter 31 Prolog as a Model Search Engine for Data Analysis
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    Chapter 32 Gender Differences in Mathematics Achievement
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    Chapter 33 Analyzing Foreign Financial Statements: A Dual Scaling Approach to the International Ratio Analysis
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    Chapter 34 A Three-Step Approach to Factor Analysis on Data of Multiple Testlets
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    Chapter 35 A Technique for Setting Standards and Maintaining Them over Time
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Title
Measurement and Multivariate Analysis
Published by
Springer Japan, November 2013
DOI 10.1007/978-4-431-65955-6
ISBNs
978-4-43-165957-0, 978-4-43-165955-6
Editors

Nishisato, Shizuhiko, Baba, Yasumasa, Bozdogan, Hamparsum, Kanefuji, Koji

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Professor > Associate Professor 1 14%
Student > Ph. D. Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Social Sciences 2 29%
Psychology 1 14%
Unknown 4 57%