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Correspondence analysis : theory, practice and new strategies / / Eric Beh, Rosaria Lombardo
| 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
| 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 |
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Beh Eric J.
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||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Correspondence analysis in practice / / Michael Greenacre
| 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.
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| Boca Raton, Florida ; ; London, England ; ; New York, New York : , : CRC Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robust correlation : theory and applications / / Georgy L. Shevlyakov, Hannu Oja
| Robust correlation : theory and applications / / Georgy L. Shevlyakov, Hannu Oja |
| Autore | Shevlyakov Georgy L. |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (353 p.) |
| Disciplina | 519.5/37 |
| Collana |
Wiley Series in Probability and Statistics
THEi Wiley ebooks |
| Soggetto topico |
Correlation (Statistics)
Mathematical statistics |
| ISBN |
1-119-26449-9
1-119-26453-7 1-119-26450-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Dedication; Contents; Preface; Acknowledgements; About the Companion Website; Chapter 1 Introduction; 1.1 Historical Remarks; 1.2 Ontological Remarks; 1.2.1 Forms of data representation; 1.2.2 Types of data statistics; 1.2.3 Principal aims of statistical data analysis; 1.2.4 Prior information about data distributions and related approaches to statistical data analysis; References; Chapter 2 Classical Measures of Correlation; 2.1 Preliminaries; 2.2 Pearson's Correlation Coefficient: Definitions and Interpretations; 2.2.1 Introductory remarks
2.2.2 Correlation via regression2.2.3 Correlation via the coefficient of determination; 2.2.4 Correlation via the variances of the principal components; 2.2.5 Correlation via the cosine of the angle between the variable vectors; 2.2.6 Correlation via the ratio of two means; 2.2.7 Pearson's correlation coefficient between random events; 2.3 Nonparametric Measures of Correlation; 2.3.1 Introductory remarks; 2.3.2 The quadrant correlation coefficient; 2.3.3 The Spearman rank correlation coefficient; 2.3.4 The Kendall -rank correlation coefficient; 2.3.5 Concluding remark 2.4 Informational Measures of Correlation2.5 Summary; References; Chapter 3 Robust Estimation of Location; 3.1 Preliminaries; 3.2 Huber's Minimax Approach; 3.2.1 Introductory remarks; 3.2.2 Minimax variance M-estimates of location; 3.2.3 Minimax bias M-estimates of location; 3.2.4 L-estimates of location; 3.2.5 R-estimates of location; 3.2.6 The relations between M-, L- and R-estimates of location; 3.2.7 Concluding remarks; 3.3 Hampel's Approach Based on Influence Functions; 3.3.1 Introductory remarks; 3.3.2 Sensitivity curve; 3.3.3 Influence function and its properties 3.3.4 Local measures of robustness3.3.5 B- and V-robustness; 3.3.6 Global measure of robustness: the breakdown point; 3.3.7 Redescending M-estimates; 3.3.8 Concluding remark; 3.4 Robust Estimation of Location: A Sequel; 3.4.1 Introductory remarks; 3.4.2 Huber's minimax variance approach in distribution density models of a non-neighborhood nature; 3.4.3 Robust estimation of location in distribution models with a bounded variance; 3.4.4 On the robustness of robust solutions: stability of least informative distributions; 3.4.5 Concluding remark; 3.5 Stable Estimation; 3.5.1 Introductory remarks 3.5.2 Variance sensitivity3.5.3 Estimation stability; 3.5.4 Robustness of stable estimates; 3.5.5 Maximin stable redescending M-estimates; 3.5.6 Concluding remarks; 3.6 Robustness Versus Gaussianity; 3.6.1 Introductory remarks; 3.6.2 Derivations of the Gaussian distribution; 3.6.3 Properties of the Gaussian distribution; 3.6.4 Huber's minimax approach and Gaussianity; 3.6.5 Concluding remarks; 3.7 Summary; References; Chapter 4 Robust Estimation of Scale; 4.1 Preliminaries; 4.1.1 Introductory remarks; 4.1.2 Estimation of scale in data analysis; 4.1.3 Measures of scale defined by functionals 4.2 M- and L-Estimates of Scale |
| Record Nr. | UNINA-9910135024803321 |
|
Shevlyakov Georgy L.
|
||
| Chichester, England : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robust correlation : theory and applications / / Georgy L. Shevlyakov, Hannu Oja
| Robust correlation : theory and applications / / Georgy L. Shevlyakov, Hannu Oja |
| Autore | Shevlyakov Georgy L. |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (353 p.) |
| Disciplina | 519.5/37 |
| Collana |
Wiley Series in Probability and Statistics
THEi Wiley ebooks |
| Soggetto topico |
Correlation (Statistics)
Mathematical statistics |
| ISBN |
1-119-26449-9
1-119-26453-7 1-119-26450-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Dedication; Contents; Preface; Acknowledgements; About the Companion Website; Chapter 1 Introduction; 1.1 Historical Remarks; 1.2 Ontological Remarks; 1.2.1 Forms of data representation; 1.2.2 Types of data statistics; 1.2.3 Principal aims of statistical data analysis; 1.2.4 Prior information about data distributions and related approaches to statistical data analysis; References; Chapter 2 Classical Measures of Correlation; 2.1 Preliminaries; 2.2 Pearson's Correlation Coefficient: Definitions and Interpretations; 2.2.1 Introductory remarks
2.2.2 Correlation via regression2.2.3 Correlation via the coefficient of determination; 2.2.4 Correlation via the variances of the principal components; 2.2.5 Correlation via the cosine of the angle between the variable vectors; 2.2.6 Correlation via the ratio of two means; 2.2.7 Pearson's correlation coefficient between random events; 2.3 Nonparametric Measures of Correlation; 2.3.1 Introductory remarks; 2.3.2 The quadrant correlation coefficient; 2.3.3 The Spearman rank correlation coefficient; 2.3.4 The Kendall -rank correlation coefficient; 2.3.5 Concluding remark 2.4 Informational Measures of Correlation2.5 Summary; References; Chapter 3 Robust Estimation of Location; 3.1 Preliminaries; 3.2 Huber's Minimax Approach; 3.2.1 Introductory remarks; 3.2.2 Minimax variance M-estimates of location; 3.2.3 Minimax bias M-estimates of location; 3.2.4 L-estimates of location; 3.2.5 R-estimates of location; 3.2.6 The relations between M-, L- and R-estimates of location; 3.2.7 Concluding remarks; 3.3 Hampel's Approach Based on Influence Functions; 3.3.1 Introductory remarks; 3.3.2 Sensitivity curve; 3.3.3 Influence function and its properties 3.3.4 Local measures of robustness3.3.5 B- and V-robustness; 3.3.6 Global measure of robustness: the breakdown point; 3.3.7 Redescending M-estimates; 3.3.8 Concluding remark; 3.4 Robust Estimation of Location: A Sequel; 3.4.1 Introductory remarks; 3.4.2 Huber's minimax variance approach in distribution density models of a non-neighborhood nature; 3.4.3 Robust estimation of location in distribution models with a bounded variance; 3.4.4 On the robustness of robust solutions: stability of least informative distributions; 3.4.5 Concluding remark; 3.5 Stable Estimation; 3.5.1 Introductory remarks 3.5.2 Variance sensitivity3.5.3 Estimation stability; 3.5.4 Robustness of stable estimates; 3.5.5 Maximin stable redescending M-estimates; 3.5.6 Concluding remarks; 3.6 Robustness Versus Gaussianity; 3.6.1 Introductory remarks; 3.6.2 Derivations of the Gaussian distribution; 3.6.3 Properties of the Gaussian distribution; 3.6.4 Huber's minimax approach and Gaussianity; 3.6.5 Concluding remarks; 3.7 Summary; References; Chapter 4 Robust Estimation of Scale; 4.1 Preliminaries; 4.1.1 Introductory remarks; 4.1.2 Estimation of scale in data analysis; 4.1.3 Measures of scale defined by functionals 4.2 M- and L-Estimates of Scale |
| Record Nr. | UNINA-9910812036803321 |
|
Shevlyakov Georgy L.
|
||
| Chichester, England : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial statistics [[electronic resource] /] / Brian D. Ripley
| Spatial statistics [[electronic resource] /] / Brian D. Ripley |
| Autore | Ripley Brian D. <1952-> |
| Pubbl/distr/stampa | New York, : Wiley, 2004 |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina | 519.5/37 |
| Collana | Wiley series in probability and mathematical statistics |
| Soggetto topico |
Spatial analysis (Statistics)
Statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9786610252992
0-471-72521-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Spatial Statistics; Contents; 1 Introduction; 2 Basic Stochastic Processes; 3 Spatial Sampling; 4 Smoothing and Interpolation; 5 Regional and Lattice Data; 6 Quadrat Counts; 7 Field Methods for Point Patterns; 8 Mapped Point Patterns; 9 Image Analysis and Stereology; Bibliography; Author Index; Subject Index; |
| Record Nr. | UNINA-9910145901403321 |
|
Ripley Brian D. <1952->
|
||
| New York, : Wiley, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial statistics [[electronic resource] /] / Brian D. Ripley
| Spatial statistics [[electronic resource] /] / Brian D. Ripley |
| Autore | Ripley Brian D. <1952-> |
| Pubbl/distr/stampa | New York, : Wiley, 2004 |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina | 519.5/37 |
| Collana | Wiley series in probability and mathematical statistics |
| Soggetto topico |
Spatial analysis (Statistics)
Statistics |
| ISBN |
9786610252992
0-471-72521-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Spatial Statistics; Contents; 1 Introduction; 2 Basic Stochastic Processes; 3 Spatial Sampling; 4 Smoothing and Interpolation; 5 Regional and Lattice Data; 6 Quadrat Counts; 7 Field Methods for Point Patterns; 8 Mapped Point Patterns; 9 Image Analysis and Stereology; Bibliography; Author Index; Subject Index; |
| Record Nr. | UNINA-9910830853103321 |
|
Ripley Brian D. <1952->
|
||
| New York, : Wiley, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial statistics [[electronic resource] /] / Brian D. Ripley
| Spatial statistics [[electronic resource] /] / Brian D. Ripley |
| Autore | Ripley Brian D. <1952-> |
| Pubbl/distr/stampa | New York, : Wiley, 2004 |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina | 519.5/37 |
| Collana | Wiley series in probability and mathematical statistics |
| Soggetto topico |
Spatial analysis (Statistics)
Statistics |
| ISBN |
9786610252992
0-471-72521-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Spatial Statistics; Contents; 1 Introduction; 2 Basic Stochastic Processes; 3 Spatial Sampling; 4 Smoothing and Interpolation; 5 Regional and Lattice Data; 6 Quadrat Counts; 7 Field Methods for Point Patterns; 8 Mapped Point Patterns; 9 Image Analysis and Stereology; Bibliography; Author Index; Subject Index; |
| Record Nr. | UNINA-9910841215403321 |
|
Ripley Brian D. <1952->
|
||
| New York, : Wiley, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||