"My Dear, Close and Distant Friend" : Nina Berberova's Letters to Sergej Rottenberg (1947-1975) / / Magnus Ljunggren |
Autore | Ljunggren Magnus |
Pubbl/distr/stampa | Gothenburg : , : Kriterium, , 2021 |
Descrizione fisica | 1 online resource (vi, 296 pages) |
Disciplina | 519.537 |
Soggetto topico | Correspondence analysis (Statistics) |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
âMY DEAR, CLOSE AND DISTANT FRIENDâ
“MY DEAR, CLOSE AND DISTANT FRIEND” |
Record Nr. | UNINA-9910476886603321 |
Ljunggren Magnus | ||
Gothenburg : , : Kriterium, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in principal component analysis / / edited by Fausto Pedro García Márquez |
Pubbl/distr/stampa | London, England : , : IntechOpen, , 2022 |
Descrizione fisica | 1 online resource (252 pages) |
Disciplina | 519.5354 |
Soggetto topico |
Principal components analysis
Correspondence analysis (Statistics) |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. The Foundation for Open Component Analysis: A System of Systems Hyper Framework Model -- 2. Identification of Multilinear Systems: A Brief Overview -- 3. Evaluation of Principal Component Analysis Variants to Assess Their Suitability for Mobile Malware Detection -- 4. Principal Component Analysis and Artificial Intelligence Approaches for Solar Photovoltaic Power Forecasting -- 5. Variable Selection in Nonlinear Principal Component Analysis -- 6. Space-Time-Parameter PCA for Data-Driven Modeling with Application to Bioengineering -- 7. Principal Component Analysis in Financial Data Science -- 8. Determining an Adequate Number of Principal Components -- 9. Spatial Principal Component Analysis of Head-Related Transfer Functions and Its Domain Dependency -- 10. Prediction Analysis Based on Logistic Regression Modelling -- 11. On the Use of Modified Winsorization with Graphical Diagnostic for Obtaining a Statistically Optimal Classification Accuracy in Predictive Discriminant Analysis -- 12. Mode Interpretation of Aerodynamic Characteristics of Tall Buildings Subject to Twisted Winds. |
Record Nr. | UNINA-9910688391503321 |
London, England : , : IntechOpen, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Assessing the quality of survey data [[electronic resource] /] / Jo?rg Blasius & Victor Thiessen |
Autore | Blasius Jo?rg <1957-> |
Pubbl/distr/stampa | Los Angeles, [Calif.] ; ; London, : SAGE, 2012 |
Descrizione fisica | 1 online resource (193 p.) |
Disciplina | 001.433 |
Altri autori (Persone) | ThiessenVictor |
Collana | Research methods for social scientists |
Soggetto topico |
Social surveys - Methodology
Social sciences - Statistical methods Social sciences - Research - Methodology Correspondence analysis (Statistics) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-4462-9232-0
1-4462-5872-6 1-4462-5187-X 1-299-65749-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover; contents; about the authors; list of acronyms and sources of data; preface; 1 Conceptualizing data quality; 2 Empirical findings on quality and comparability of survey data; 3 Statistical techniques for data screening; 4 Institutional quality control practices; 5 Substantive or methodology-induced factors?; 6 Item difficulty and response quality; 7 Questionnaire architecture; 8 Cognitive competencies and response quality; 9 Conclusion; References; Index |
Record Nr. | UNINA-9910463817403321 |
Blasius Jo?rg <1957-> | ||
Los Angeles, [Calif.] ; ; London, : SAGE, 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Un bisogno di complementarità : il carteggio Cassola-Fortini / / a cura di Giada Perciballi |
Pubbl/distr/stampa | Firenze : , : Firenze University Press, , 2023 |
Descrizione fisica | 1 online resource (159 pages) |
Disciplina | 519.537 |
Collana | Carteggi e materiali del Centro interdipartimentale di ricerca Franco Fortini |
Soggetto topico | Correspondence analysis (Statistics) |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-9910717401903321 |
Firenze : , : Firenze University Press, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Der Briefwechsel zwischen Bettine Brentano und Max Prokop von Freyberg / / Bettina Brentano, Max P. von Freyberg; Sibylle von Steinsdorff |
Autore | Brentano Bettina |
Edizione | [Reprint 2019] |
Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2019] |
Descrizione fisica | 1 online resource (372 pages) |
Disciplina | 519.535 |
Collana | Quellen und Forschungen zur Sprach- und Kulturgeschichte der germanischen Völker. N.F. |
Soggetto topico | Correspondence analysis (Statistics) |
ISBN | 3-11-086552-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Frontmatter -- VORWORT -- INHALTSVERZEICHNIS -- VERZEICHNIS DER ABBILDUNGEN -- EINLEITUNG -- TEXT -- KOMMENTAR -- LITERATURVERZEICHNIS -- REGISTER |
Record Nr. | UNINA-9910346021003321 |
Brentano Bettina | ||
Berlin ; ; Boston : , : De Gruyter, , [2019] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Der Briefwechsel zwischen Bettine Brentano und Max Prokop von Freyberg / / Bettina Brentano, Max P. von Freyberg; Sibylle von Steinsdorff |
Autore | Brentano Bettina |
Edizione | [Reprint 2019] |
Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2019] |
Descrizione fisica | 1 online resource (372 pages) |
Disciplina | 519.535 |
Collana | Quellen und Forschungen zur Sprach- und Kulturgeschichte der germanischen Völker. N.F. |
Soggetto topico | Correspondence analysis (Statistics) |
ISBN | 3-11-086552-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Frontmatter -- VORWORT -- INHALTSVERZEICHNIS -- VERZEICHNIS DER ABBILDUNGEN -- EINLEITUNG -- TEXT -- KOMMENTAR -- LITERATURVERZEICHNIS -- REGISTER |
Record Nr. | UNISA-996309119203316 |
Brentano Bettina | ||
Berlin ; ; Boston : , : De Gruyter, , [2019] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Correspondence analysis : theory, practice and new strategies / / Eric Beh, Rosaria Lombardo |
Autore | Beh Eric J. |
Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (593 p.) |
Disciplina | 519.5/37 |
Collana | Wiley Series in Probability and Statistics |
Soggetto topico | Correspondence analysis (Statistics) |
ISBN |
1-118-76287-8
1-118-76289-4 |
Classificazione | MAT029020 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Correspondence Analysis: Theory, Practice and New Strategies; Contents; Foreword; Preface; Part One: Introduction; 1 Data Visualisation; 1.1 A Very Brief Introduction to Data Visualisation; 1.1.1 A Very Brief History; 1.1.2 Introduction to Visualisation Tools for Numerical Data; 1.1.3 Introduction to Visualisation Tools for Univariate Categorical Data; 1.2 Data Visualisation for Contingency Tables; 1.2.1 Fourfold Displays; 1.3 Other Plots; 1.4 Studying Exposure to Asbestos; 1.4.1 Asbestos and Irving J. Selikoff; 1.4.2 Selikoff's Data; 1.4.3 Numerical Analysis of Selikoff's Data
1.4.4 A Graphical Analysis of Selikoff's Data1.4.5 Classical Correspondence Analysis of Selikoff's Data; 1.4.6 Other Methods of Graphical Analysis; 1.5 Happiness Data; 1.6 Correspondence Analysis Now; 1.6.1 A Bibliographic Taste; 1.6.2 The Increasing Popularity of Correspondence Analysis; 1.6.3 The Growth of the Correspondence Analysis Family Tree; 1.7 Overview of the Book; 1.8 R Code; References; 2 Pearson's Chi-Squared Statistic; 2.1 Introduction; 2.2 Pearson's Chi-Squared Statistic; 2.2.1 Notation; 2.2.2 Measuring the Departure from Independence; 2.2.3 Pearson's Chi-Squared Statistic 2.6.3 The Cressie--Read StatisticReferences; Part Two: Correspondence Analysis of Two-Way Contingency Tables; 3 Methods of Decomposition; 3.1 Introduction; 3.2 Reducing Multidimensional Space; 3.3 Profiles and Cloud of Points; 3.4 Property of Distributional Equivalence; 3.5 The Triplet and Classical Reciprocal Averaging; 3.5.1 One-Dimensional Reciprocal Averaging; 3.5.2 Matrix Form of One-Dimensional Reciprocal Averaging; 3.5.3 M-Dimensional Reciprocal Averaging; 3.5.4 Some Historical Comments; 3.6 Solving the Triplet Using Eigen-Decomposition; 3.6.1 The Decomposition; 3.6.2 Example 3.7 Solving the Triplet Using Singular Value Decomposition3.7.1 The Standard Decomposition; 3.7.2 The Generalised Decomposition; 3.8 The Generalised Triplet and Reciprocal Averaging; 3.9 Solving the Generalised Triplet Using Gram--Schmidt Process; 3.9.1 Ordered Categorical Variables and a priori Scores; 3.9.2 On Finding Orthogonalised Vectors; 3.9.3 A Recurrence Formulae Approach; 3.9.4 Changing the Basis Vector; 3.9.5 Generalised Correlations; 3.10 Bivariate Moment Decomposition; 3.11 Hybrid Decomposition; 3.11.1 An Alternative Singly Ordered Approach; 3.12 R Code 3.12.1 Eigen-Decomposition in R |
Record Nr. | UNINA-9910132173303321 |
Beh Eric J. | ||
Chichester, England : , : Wiley, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Correspondence analysis : theory, practice and new strategies / / Eric Beh, Rosaria Lombardo |
Autore | Beh Eric J. |
Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (593 p.) |
Disciplina | 519.5/37 |
Collana | Wiley Series in Probability and Statistics |
Soggetto topico | Correspondence analysis (Statistics) |
ISBN |
1-118-76287-8
1-118-76289-4 |
Classificazione | MAT029020 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Correspondence Analysis: Theory, Practice and New Strategies; Contents; Foreword; Preface; Part One: Introduction; 1 Data Visualisation; 1.1 A Very Brief Introduction to Data Visualisation; 1.1.1 A Very Brief History; 1.1.2 Introduction to Visualisation Tools for Numerical Data; 1.1.3 Introduction to Visualisation Tools for Univariate Categorical Data; 1.2 Data Visualisation for Contingency Tables; 1.2.1 Fourfold Displays; 1.3 Other Plots; 1.4 Studying Exposure to Asbestos; 1.4.1 Asbestos and Irving J. Selikoff; 1.4.2 Selikoff's Data; 1.4.3 Numerical Analysis of Selikoff's Data
1.4.4 A Graphical Analysis of Selikoff's Data1.4.5 Classical Correspondence Analysis of Selikoff's Data; 1.4.6 Other Methods of Graphical Analysis; 1.5 Happiness Data; 1.6 Correspondence Analysis Now; 1.6.1 A Bibliographic Taste; 1.6.2 The Increasing Popularity of Correspondence Analysis; 1.6.3 The Growth of the Correspondence Analysis Family Tree; 1.7 Overview of the Book; 1.8 R Code; References; 2 Pearson's Chi-Squared Statistic; 2.1 Introduction; 2.2 Pearson's Chi-Squared Statistic; 2.2.1 Notation; 2.2.2 Measuring the Departure from Independence; 2.2.3 Pearson's Chi-Squared Statistic 2.6.3 The Cressie--Read StatisticReferences; Part Two: Correspondence Analysis of Two-Way Contingency Tables; 3 Methods of Decomposition; 3.1 Introduction; 3.2 Reducing Multidimensional Space; 3.3 Profiles and Cloud of Points; 3.4 Property of Distributional Equivalence; 3.5 The Triplet and Classical Reciprocal Averaging; 3.5.1 One-Dimensional Reciprocal Averaging; 3.5.2 Matrix Form of One-Dimensional Reciprocal Averaging; 3.5.3 M-Dimensional Reciprocal Averaging; 3.5.4 Some Historical Comments; 3.6 Solving the Triplet Using Eigen-Decomposition; 3.6.1 The Decomposition; 3.6.2 Example 3.7 Solving the Triplet Using Singular Value Decomposition3.7.1 The Standard Decomposition; 3.7.2 The Generalised Decomposition; 3.8 The Generalised Triplet and Reciprocal Averaging; 3.9 Solving the Generalised Triplet Using Gram--Schmidt Process; 3.9.1 Ordered Categorical Variables and a priori Scores; 3.9.2 On Finding Orthogonalised Vectors; 3.9.3 A Recurrence Formulae Approach; 3.9.4 Changing the Basis Vector; 3.9.5 Generalised Correlations; 3.10 Bivariate Moment Decomposition; 3.11 Hybrid Decomposition; 3.11.1 An Alternative Singly Ordered Approach; 3.12 R Code 3.12.1 Eigen-Decomposition in R |
Record Nr. | UNINA-9910822547203321 |
Beh Eric J. | ||
Chichester, England : , : Wiley, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Correspondence analysis in practice / / Michael Greenacre |
Autore | Greenacre Michael J. |
Edizione | [Third edition.] |
Pubbl/distr/stampa | Boca Raton, Florida ; ; London, England ; ; New York, New York : , : CRC Press, , 2017 |
Descrizione fisica | 1 online resource (327 pages) : illustrations |
Disciplina | 519.5/37 |
Collana | Chapman & Hall/CRC Interdisciplinary Statistics |
Soggetto topico | Correspondence analysis (Statistics) |
ISBN |
1-315-36998-2
1-315-35295-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910162824803321 |
Greenacre Michael J. | ||
Boca Raton, Florida ; ; London, England ; ; New York, New York : , : CRC Press, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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An introduction to correspondence analysis / / Eric J. Beh and Rosaria Lombardo |
Autore | Beh Eric J. |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2021] |
Descrizione fisica | 1 online resource (243 pages) : illustrations |
Disciplina | 519.537 |
Collana | Wiley Series in Probability and Statistics Ser. |
Soggetto topico | Correspondence analysis (Statistics) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-04196-1
1-119-04448-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Introduction -- 1.1 Data Visualisation -- 1.2 Correspondence Analysis in a "Nutshell" -- 1.3 Data Sets -- 1.3.1 Traditional European Food Data -- 1.3.2 Temperature Data -- 1.3.3 Shoplifting Data -- 1.3.4 Alligator Data -- 1.4 Symmetrical Versus Asymmetrical Association -- 1.5 Notation -- 1.5.1 The Two‐way Contingency Table -- 1.5.2 The Three‐way Contingency Table -- 1.6 Formal Test of Symmetrical Association -- 1.6.1 Test of Independence for Two‐way Contingency Tables -- 1.6.2 The Chi‐squared Statistic for a Two‐way Table -- 1.6.3 Analysis of the Traditional European Food Data -- 1.6.4 The Chi‐squared Statistic for a Three‐way Table -- 1.6.5 Analysis of the Alligator Data -- 1.7 Formal Test of Asymmetrical Association -- 1.7.1 Test of Predictability for Two‐way Contingency Tables -- 1.7.2 The Goodman-Kruskal tau Index -- 1.7.3 Analysis of the Traditional European Food Data -- 1.7.4 Test of Predictability for Three‐way Contingency Tables -- 1.7.5 Marcotorchino's Index -- 1.7.6 Analysis of the Alligator Data -- 1.7.7 The Gray-Williams Index and Delta Index -- 1.8 Correspondence Analysis and R -- 1.9 Overview of the Book -- Part I Classical Analysis of Two Categorical Variables -- Chapter 2 Simple Correspondence Analysis -- 2.1 Introduction -- 2.2 Reducing Multi‐dimensional Space -- 2.2.1 Profiles Cloud of Points -- 2.2.2 Profiles for the Traditional European Food Data -- 2.2.3 Weighted Centred Profiles -- 2.3 Measuring Symmetric Association -- 2.3.1 The Pearson Ratio -- 2.3.2 Analysis of the Traditional European Food Data -- 2.4 Decomposing the Pearson Residual for Nominal Variables -- 2.4.1 The Generalised SVD of γij−1 -- 2.4.2 SVD of the Pearson Ratio's -- 2.4.3 GSVD and the Traditional European Food Data -- 2.5 Constructing a Low‐Dimensional Display.
2.5.1 Standard Coordinates -- 2.5.2 Principal Coordinates -- 2.6 Practicalities of the Low‐Dimensional Plot -- 2.6.1 The Two‐Dimensional Correspondence Plot -- 2.6.2 What is NOT Being Shown in a Two‐Dimensional Correspondence Plot? -- 2.6.3 The Three‐Dimensional Correspondence Plot -- 2.7 The Biplot Display -- 2.7.1 Definition -- 2.7.2 Isometric Biplots of the Traditional European Food Data -- 2.7.3 What is NOT Being Shown in a Two‐Dimensional Biplot? -- 2.8 The Case for No Visual Display -- 2.9 Detecting Statistically Significant Points -- 2.9.1 Confidence Circles and Ellipses -- 2.9.2 Confidence Ellipses for the Traditional European Food Data -- 2.10 Approximate p‐values -- 2.10.1 The Hypothesis Test and its p‐value -- 2.10.2 P‐values and the Traditional European Food Data -- 2.11 Final Comments -- Chapter 3 Non‐Symmetrical Correspondence Analysis -- 3.1 Introduction -- 3.2 Quantifying Asymmetric Association -- 3.2.1 The Goodman-Kruskal tau Index -- 3.2.2 The τ Index and the Traditional European Food Data -- 3.2.3 Weighted Centred Column Profile -- 3.2.4 Profiles of the Traditional European Food Data -- 3.3 Decomposing πi|j for Nominal Variables -- 3.3.1 The Generalised SVD of πi|j -- 3.3.2 GSVD and the Traditional Food Data -- 3.4 Constructing a Low‐Dimensional Display -- 3.4.1 Standard Coordinates -- 3.4.2 Principal Coordinates -- 3.5 Practicalities of the Low‐Dimensional Plot -- 3.5.1 The Two‐Dimensional Correspondence Plot -- 3.5.2 The Three‐Dimensional Correspondence Plot -- 3.6 The Biplot Display -- 3.6.1 Definition -- 3.6.2 The Column Isometric Biplot for the Traditional Food Data -- 3.6.3 The Three‐Dimensional Biplot -- 3.7 Detecting Statistically Significant Points -- 3.7.1 Confidence Circles and Ellipses -- 3.7.2 Confidence Ellipses for the Traditional Food Data -- 3.8 Final Comments. Part II Ordinal Analysis of Two Categorical Variables -- Chapter 4 Simple Ordinal Correspondence Analysis -- 4.1 Introduction -- 4.2 A Simple Correspondence Analysis of the Temperature Data -- 4.3 On the Mean and Variation of Profiles with Ordered Categories -- 4.3.1 Profiles of the Temperature Data -- 4.3.2 Defining Scores -- 4.3.3 On the Mean of the Profiles -- 4.3.4 On the Variation of the Profiles -- 4.3.5 Mean and Variation of Profiles for the Temperature Data -- 4.4 Decomposing the Pearson Residual for Ordinal Variables -- 4.4.1 The Bivariate Moment Decomposition of γij−1 -- 4.4.2 BMD and the Temperature Data -- 4.5 Constructing a Low‐Dimensional Display -- 4.5.1 Standard Coordinates -- 4.5.2 Principal Coordinates -- 4.5.3 Practicalities of the Ordered Principal Coordinates -- 4.6 The Biplot Display -- 4.6.1 Definition -- 4.6.2 Ordered Column Isometric Biplot -- 4.6.3 Ordered Row Isometric Biplot -- 4.6.4 Ordered Isometric Biplots for the Temperature Data -- 4.7 Final Comments -- Chapter 5 Ordered Non‐symmetrical Correspondence Analysis -- 5.1 Introduction -- 5.2 The Goodman-Kruskal tau Index Revisited -- 5.3 Decomposing πi|j for Ordinal and Nominal Variables -- 5.3.1 The Hybrid Decomposition of πi|j -- 5.3.2 Hybrid Decomposition and the Shoplifting Data -- 5.4 Constructing a Low‐Dimensional Display -- 5.4.1 Standard Coordinates -- 5.4.2 Principal Coordinates -- 5.5 The Biplot -- 5.5.1 An Overview -- 5.5.2 Column Isometric Biplot -- 5.5.3 Column Isometric Biplot of the Shoplifting Data -- 5.5.4 Row Isometric Biplot -- 5.5.5 Row Isometric Biplot of the Shoplifting Data -- 5.5.6 Distance Measures and the Row Isometric Biplots -- 5.6 Some Final Words -- Part III Analysis of Multiple Categorical Variables -- Chapter 6 Multiple Correspondence Analysis -- 6.1 Introduction -- 6.2 Crisp Coding and the Indicator Matrix -- 6.2.1 Crisp Coding. 6.2.2 The Indicator Matrix -- 6.2.3 Crisp Coding and the Alligator Data -- 6.2.4 Application of Multiple Correspondence Analysis using the Indicator Matrix -- 6.3 The Burt Matrix -- 6.4 Stacking -- 6.4.1 A Definition -- 6.4.2 Stacking and the Alligator Data - Lake(Size)× Food -- 6.4.3 Stacking and the Alligator Data - Food(Size)× Lake -- 6.5 Final Comments -- Chapter 7 Multi‐way Correspondence Analysis -- 7.1 An Introduction -- 7.2 Pearson's Residual γijk−1 and the Partition of X2 -- 7.2.1 The Pearson Residual -- 7.2.2 The Partition of X2 -- 7.2.3 Partition of X2 for the Alligator Data -- 7.3 Symmetric Multi‐way Correspondence Analysis -- 7.3.1 Tucker3 Decomposition of γijk−1 -- 7.3.2 T3D and the Analysis of Two Variables -- 7.3.3 On the Choice of the Number of Components -- 7.3.4 Tucker3 Decomposition of γijk−1 and the Alligator Data -- 7.4 Constructing a Low‐Dimensional Display -- 7.4.1 Principal Coordinates -- 7.4.2 The Interactive Biplot -- 7.4.3 Column‐Tube Interactive Biplot for the Alligator Data -- 7.4.4 Row Interactive Biplot for the Alligator Data -- 7.5 The Marcotorchino Residual πi|j,k and the Partition of τM -- 7.5.1 The Marcotrochino Residual -- 7.5.2 The Partition of τM -- 7.5.3 Partition of τM for the Alligator Data -- 7.6 Non‐symmetrical Multi‐way Correspondence Analysis -- 7.6.1 Tucker3 Decomposition of πi|j,k -- 7.6.2 Tucker3 Decomposition of πi|j,k and the Alligator Data -- 7.7 Constructing a Low‐Dimensional Display -- 7.7.1 On the Choice of Coordinates -- 7.7.2 Column-Tube Interactive Biplot for the Alligator Data -- 7.8 Final Comments -- References -- Author Index -- Subject Index -- EULA. |
Record Nr. | UNINA-9910555118003321 |
Beh Eric J. | ||
Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|