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Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
| Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
| Disciplina | 658.8342 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Motivation research (Marketing) Mathematics Visualization Social sciences Psychometrics Statistics for Social Sciences, Humanities, Law Statistical Theory and Methods Consumer Behavior Methodology of the Social Sciences |
| ISBN | 981-15-2700-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
| Record Nr. | UNISA-996418190803316 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
| Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
| Disciplina | 658.8342 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Motivation research (Marketing) Mathematics Visualization Social sciences Psychometrics Statistics for Social Sciences, Humanities, Law Statistical Theory and Methods Consumer Behavior Methodology of the Social Sciences |
| ISBN | 981-15-2700-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
| Record Nr. | UNINA-9910484981703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Facets of Behaviormetrics [[electronic resource] ] : The 50th Anniversary of the Behaviormetric Society / / edited by Akinori Okada, Kazuo Shigemasu, Ryozo Yoshino, Satoru Yokoyama
| Facets of Behaviormetrics [[electronic resource] ] : The 50th Anniversary of the Behaviormetric Society / / edited by Akinori Okada, Kazuo Shigemasu, Ryozo Yoshino, Satoru Yokoyama |
| Autore | Okada Akinori |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (335 pages) |
| Disciplina | 150.721 |
| Altri autori (Persone) |
ShigemasuKazuo
YoshinoRyozo YokoyamaSatoru |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Quantitative research Psychology Applied Statistics Statistical Theory and Methods Statistics and Computing Data Analysis and Big Data Behavioral Sciences and Psychology |
| ISBN | 981-9922-40-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Product-line Design Using Cluster-Based Genetic Algorithms and Tabu Search -- Graphical Analysis and Clustering of Asymmetric Proximities -- Citizens and the Pandemic: Values, Attitudes, Impact -- The MELODIC Family for Simultaneous Binary Logistic Regression in a Reduced Space -- Examining Cross-Cultural Value Questionnaires with Quantitative Methods: Reliability and Scalar Equivalence of the Measurement Instruments of Human Values in Germany and Japan -- Handbooks as a Means of Mapping a Discipline: An Exploration of the World of Attachment -- Behaviormetrics in Blockchains: A Novel Protocol for Recording, Processing, and Rewarding Valuable Behavior -- Propositions for Quantification Theory -- Exploring Heterogeneity in Happiness: Evidence from a Japanese Longitudinal Survey -- On Likelihood Ratio Tests for Dimensionality Selection -- Chronological Monitoring of the Cross-Resistance Rate of Pseudomonas aeruginosa Classified by the Radius-Distance Model -- Effects of Rotation Applied to the Solution of Multiple Correspondence Analysis: Reanalysis of Le Roux and Rouanet’s Data -- The Multivariate Power-Gamma Distribution Using Factor Analysis Models -- Looking Back on Japan in the Heisei era from the Perspective of Repeated Survey Data: Focusing on a Sense of “Giri ninjō (Obligation-Human feeling)” and "Kurashi-Kata” (Attitudes towards Life) in the Surveys on the Japanese National Character -- Closed Form and Lord-Wingersky Algorithm for the Total Score Distribution of a Test with a General Scoring Scheme: The Distribution of the Sum of Rolling Heterogeneous Dice. |
| Record Nr. | UNINA-9910741148603321 |
Okada Akinori
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||