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Analysis and Modeling of Complex Data in Behavioral and Social Sciences [[electronic resource] /] / edited by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs
Analysis and Modeling of Complex Data in Behavioral and Social Sciences [[electronic resource] /] / edited by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (297 p.)
Disciplina 519.5
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Statistics 
Social sciences
Statistical Theory and Methods
Statistics and Computing/Statistics Programs
Methodology of the Social Sciences
Statistics for Social Sciences, Humanities, Law
ISBN 3-319-06692-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Time-frequency Filtering for Seismic Waves Clustering -- Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement -- Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893 - 1919) -- Estimating a Rasch Model via Fuzzy Empirical Probability Functions -- Scale Reliability Evaluation for a-priori Clustered Data -- An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method. The IQuEL Italian Project -- A New Index for the Comparison of Different Measurement Scales -- Asymmetries in Organizational Structures -- A Generalized Additive Model for Binary Rare Events Data: an Application to Credit Defaults -- The Meaning of forma in Thomas Aquinas. Hierarchical Clustering from the Index Thomisticus Treebank -- The Estimation of the Parameters in Multi-Criteria Classification Problem: the Case of the Electre Tri Method -- Dynamic Clustering of Financial Assets -- A Comparison of  metrics for the Assessment of Relational Similarities in Affiliation Networks -- Influence Diagnostics for Meta-Analysis of Individual Patient Data using Generalized Linear Mixed Models -- Social Networks as Symbolic Data -- Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis -- Fuzzy c-means for Web Mining: The Italian Tourist Forum Case -- On Joint Dimension Reduction and Clustering of Categorical Data -- A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web -- Dynamic Customer Satisfaction and Measure of Trajectories: a Banking Case -- The Analysis of Partnership Networks in Social Planning Processes -- Evaluating the Effect of New Brand by Asymmetric Multidimensional Scaling -- Statistical Characterization of the Virtual Water Trade Network -- A Pre-Specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks -- The RCI as a Measure of Monotonic Dependence -- A Value Added Approach in Upper Secondary Schools of Lombardy by OECD-PISA 2009 Data -- Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison -- Changes in Japanese EFL Learners' Proficiency: An Application of Latent Rank Theory -- Robustness and Stability Analysis of Factor PD-Clustering on Large Social Data Sets -- A Box-plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis -- Assessing Cooperation in Open Systems: an Empirical Test in Healthcare.
Record Nr. UNINA-9910299981703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Classification and clustering in business cycle analysis [[electronic resource] /] / Ullrich Heilemann and Claus Weihs (eds.)
Classification and clustering in business cycle analysis [[electronic resource] /] / Ullrich Heilemann and Claus Weihs (eds.)
Pubbl/distr/stampa Berlin, : Duncker & Humblot, c2007
Descrizione fisica 1 online resource (168 p.)
Disciplina 338.542
Altri autori (Persone) HeilemannUllrich
WeihsClaus
Collana RWI Schriften
Soggetto topico Business cycles - United States - Statistics
Business cycles - Germany - Statistics
Soggetto genere / forma Electronic books.
ISBN 3-428-52425-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Ullrich Heilemann and Claus Weihs: Introduction; References; Victor Zarnowitz: Phases and Stages of Recent U.S. Business Cycles; 1. Introduction; 2. Growth Cycles and Business Cycles; 3. Stages of Expansion and Contraction; 4. Applicability to U.S. Postwar Expansions; 5. Applicability to U.S. Postwar Contractions; 6. An Extension to the Last Recession; 7. Conclusion; References; Ullrich Heilemann and Heinz Josef Münch: The U.S. Business Cycle and its Phases 1948-2000; 1. Introduction; 2. Re-examining Meyer/Weinberg; 3. Stability of Meyer/Weinberg's Results
3.1 A Four-phase Classification for 1973 to 20003.2 New Sample Performance of the M/W Scheme; 3.3 Outside Sample Performance; 3.4 Stability of the M/W-Scheme in the New Sample; 4. Summary and Conclusions; References; Appendix: Linear Discriminant Analysis; Claus Weihs and Ursula Garczarek: Stability of Multivariate Representation of Business Cycles over Time; 1. Introduction; 2. Data; 3. Classification of Business Cycle Phases; 4. Classification Methods and Classification Rules; 5. Double Leave-one-cycle-out Cross Validation; 6. Classification Results and Resulting Models
4. Aspekte verschiedener Trendbereinigungsverfahren5. Beispiele zur unterschiedlichen Wendepunktdatierung; 6. Zykluskonzept und Erklärungsansätze; 7. Fazit; Literatur; Anhang: Fragebogen der Monatsumfrage in der Industrie; Bernd Lucke und Malte Knüppel: Unternehmensgrößenklassen im ifo-Konjunkturtest: eine Burns-Mitchell-Analyse; 1. Einleitung; 2. Burns-Mitchell-Methodologie; 3. Bestimmung der Referenzzyklen; 4. Geschäftsklimadaten nach Unternehmensgrößenklassen; 5. Beschäftigungseffekte; 6. Schlussbemerkungen; Literatur; Anhang
Katharina Morik and Stefan Rüping: An Inductive Logic Programming Approach to the Classification of Phases in Business Cycles1. Introduction; 2. Inductive Logic Programming; 2.1 MOBAL; 2.1.1 The Rule Discovery Tool RDT; 2.1.2 Rule Inspection; 2.1.3 Knowledge Revision; 3. Experiments on German Business Cycle Data; 3.1 Discretization; 3.2 Modeling Four Phases Without Time Intervals; 3.3 Modeling Four Phases with Time Intervals; 3.4 Modeling Two Phases; 3.5 Concept Shift; 4. Conclusion and Further Work; References
Ursula Garczarek and Claus Weihs: Univariate Characterization of the German Business Cycle 1955-1994
Record Nr. UNINA-9910418294103321
Berlin, : Duncker & Humblot, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Music data analysis : foundations and applications / / edited by Claus Weihs, Technical University of Dortmund, Germany, Dietmar Jannach, Technical University of Dortmund, Gernamy, Igor Vatolkin, Technical University of Dortmund, Germany, Gunter
Music data analysis : foundations and applications / / edited by Claus Weihs, Technical University of Dortmund, Germany, Dietmar Jannach, Technical University of Dortmund, Gernamy, Igor Vatolkin, Technical University of Dortmund, Germany, Gunter
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2017]
Descrizione fisica 1 online resource (694 pages) : illustrations
Disciplina 780.285
Collana Chapman & Hall/CRC Computer Science and Data Analysis Series
Soggetto topico Musical analysis - Data processing
ISBN 1-315-35383-0
0-367-87281-1
1-315-37099-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto I. Music and audio -- II. Methods -- III. Applications -- IV. Implementation.
Record Nr. UNINA-9910151566003321
Boca Raton : , : CRC Press, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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