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Exploratory and multivariate data analysis / / Michel Jambu
Exploratory and multivariate data analysis / / Michel Jambu
Autore Jambu Michel
Pubbl/distr/stampa Boston, : Academic Press, c1991
Descrizione fisica 1 online resource (489 p.)
Disciplina 519.5/0285
Collana Statistical modeling and decision science
Soggetto topico Mathematical statistics - Data processing
ISBN 0-08-092367-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Exploratory and Multivariate Data Analysis; Copyright Page; Dedication; Table of Contents; Preface; Chapter 1. General Presentation; 1. Introduction; 2. Examples of Applications; 3. Steps in Data Exploration: Management, Analysis, Synthesis; 4. Computer Aspects; Chapter 2. Statistical Data Exploration; 1. Statistics; 2. Fields of Statistical Data Exploration; 3. Statistics and Experiments; 4. Data Analysis, Inductive and Deductive Statistics; 5. Variables, Statistical Sets, and Data Sets; Chapter 3. 1-D Statistical Data Analysis; 1. Introduction
2. 1-D Analysis of a Quantitative Variable3. 1-D Analysis of a Categorical Variable; 4. 1-D Analysis of a Categorical Variable with Multiple Forms; 5. 1-D Analysis of Time Series or Chronological Variables; 6. Statistical Maps or Cartograms; Chapter 4. 2-D Statistical Data Analysis; 1. Introduction; 2. 2-D Analysis of Two Categorical Variables; 3. 2-D Analysis of Two Quantitative Variables; 4. 2-D Analysis of a Quantitative Variable and a Categorical Variable; 5. 2-D Analysis of a Quantitative Variable and a Categorical Variable with Multiple Forms; 6. Conclusion
Chapter 5. Ν-D Statistical Data Analysis1. Introduction; 2. Joint 3-D Statistical Data Analysis; 3. Joint Ν-D Statistical Data Analysis; 4. Cartograms and Ν-D Analysis; Chapter 6. Factor Analysis of Individuals-Variables Data Sets; 1. Introduction; 2. From Linear Adjustment to Factor Analysis; 3. From the Origin of Factor Analysis to Modern Factor Analysis Techniques; 4. Mathematical Description of Modern Factor Analysis; 5. Factor Analysis Formulas; Chapter 7. Principal Components Analysis; 1. Basic Data Sets; 2. Different Patterns of Principal Components Analysis
3. Standardized Principal Components Analysis4. Interpretation of Principal Components Analysis; 5. Classifying Supplementary Points into Graphics; 6. Rules for Selecting Significant Axes and Elements; 7. Standardized Principal Components Analysis Formulas; 8. Applications and Case Studies; Chapter 8. 2-D Correspondence Analysis; 1. Introduction; 2. Basic Correspondence Data Sets; 3. Mathematical Description of Correspondence Analysis; 4. Geometric Representation of the Sets I and J; 5. Interpretation of the 2-D Correspondence Analysis; 6. Factor Graphics
7. Classifying Supplementary Points into Graphics8. Rules for Selecting Significant Axes and Elements; 9. 2-D Correspondence Analysis Formulas; 10. Patterns of Clouds of Points; 11. Patterns of Acceptable Data Sets; 12. Case Studies; Chapter 9. Ν-D Correspondence Analysis; 1. Introduction; 2. Basic Data Sets; 3. Equivalence between Analyses of bJJ and kIJ; 4. Interpretation of Ν-D Correspondence Analysis; 5. Factor Graphics; 6. Classifying Supplementary Points into Graphics; 7. Rules for Selecting Significant Axes and Points of Ν(I), N(J), and N(Q); 8. Ν-D Correspondence Analysis Formulas
9. Patterns of Acceptable Data Sets
Record Nr. UNINA-9911004755203321
Jambu Michel  
Boston, : Academic Press, c1991
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Journal of computational and graphical statistics
Journal of computational and graphical statistics
Pubbl/distr/stampa Alexandria, VA, : The Association
Disciplina 519.5/0285
ISSN 1061-8600
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Note periodicità Trimestrale
Record Nr. UNINA-990008987500403321
Alexandria, VA, : The Association
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust methods for data reduction / / Alessio Farcomeni, Luca Greco
Robust methods for data reduction / / Alessio Farcomeni, Luca Greco
Autore Farcomeni Alessio
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2015]
Descrizione fisica 1 online resource (297 p.)
Disciplina 519.5/0285
Collana Chapman & Hall Book
Soggetto topico Robust control
Data reduction - Computer programs
Dimension reduction (Statistics)
ISBN 0-429-16796-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; Preface; Authors; List of Figures; List of Tables; List of Examples and R illustrations; Symbol Description; 1. Introduction and Overview; 2. Multivariate Estimation Methods; Section I: Dimension Reduction; Introduction to Dimension Reduction; 3. Principal Component Analysis; 4. Sparse Robust PCA; 5. Canonical Correlation Analysis; 6. Factor Analysis; Section II: Sample Reduction; Introduction to Sample Reduction; 7. k-means and Model-Based Clustering; 8. Robust Clustering; 9. Robust Model-Based Clustering; 10. Double Clustering; 11. Discriminant Analysis
A. Use of the Software R for Data ReductionBibliography
Record Nr. UNINA-9910788117103321
Farcomeni Alessio  
Boca Raton : , : CRC Press, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust methods for data reduction / / Alessio Farcomeni, Luca Greco
Robust methods for data reduction / / Alessio Farcomeni, Luca Greco
Autore Farcomeni Alessio
Edizione [1st ed.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2015]
Descrizione fisica 1 online resource (297 p.)
Disciplina 519.5/0285
Collana Chapman & Hall Book
Soggetto topico Robust control
Data reduction - Computer programs
Dimension reduction (Statistics)
ISBN 1-04-021236-0
0-429-16796-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; Preface; Authors; List of Figures; List of Tables; List of Examples and R illustrations; Symbol Description; 1. Introduction and Overview; 2. Multivariate Estimation Methods; Section I: Dimension Reduction; Introduction to Dimension Reduction; 3. Principal Component Analysis; 4. Sparse Robust PCA; 5. Canonical Correlation Analysis; 6. Factor Analysis; Section II: Sample Reduction; Introduction to Sample Reduction; 7. k-means and Model-Based Clustering; 8. Robust Clustering; 9. Robust Model-Based Clustering; 10. Double Clustering; 11. Discriminant Analysis
A. Use of the Software R for Data ReductionBibliography
Record Nr. UNINA-9910960893303321
Farcomeni Alessio  
Boca Raton : , : CRC Press, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui