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Applied MANOVA and discriminant analysis [[electronic resource]]
| Applied MANOVA and discriminant analysis [[electronic resource]] |
| Autore | Huberty Carl J. <1934-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (524 p.) |
| Disciplina | 519.535 |
| Altri autori (Persone) |
OlejnikStephen
HubertyCarl J. <1934-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Discriminant analysis
Multivariate analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-82320-8
9786610823208 0-471-78947-X 0-471-78946-1 |
| Classificazione |
31.73
83.03 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied MANOVA and Discriminant Analysis; Brief Contents; Contents; List of Figures; List of Tables; Preface to Second Edition; Acknowledgments; Preface to First Edition; Notation; I INTRODUCTION; 1 Discriminant Analysis in Research; 1.1 A Little History; 1.2 Overview; 1.3 Descriptive Discriminant Analysis; 1.4 Predictive Discriminant Analysis; 1.5 Design in Discriminant Analysis; 1.5.1 Grouping Variables; 1.5.2 Response Variables; Exercises; 2 Preliminaries; 2.1 Introduction; 2.2 Research Context; 2.3 Data, Analysis Units, Variables, and Constructs; 2.4 Summarizing Data
2.5 Matrix Operations2.5.1 SSCP Matrix; 2.5.2 Determinant; 2.5.3 Inverse; 2.5.4 Eigenanalysis; 2.6 Distance; 2.7 Linear Composite; 2.8 Probability; 2.9 Statistical Testing; 2.10 Judgment in Data Analysis; 2.11 Summary; Further Reading; Exercises; II ONE-FACTOR MANOVA/DDA; 3 Group Separation; 3.1 Introduction; 3.2 Two-Group Analyses; 3.2.1 Univariate Analysis; 3.2.2 Multivariate Analysis; 3.3 Test for Covariance Matrix Equality; 3.4 Yao Test; 3.5 Multiple-Group Analyses-Single Factor; 3.5.1 Univariate Analysis; 3.5.2 Multivariate Analysis; 3.6 Computer Application; 3.7 Summary; Exercises 4 Assessing MANOVA Effects4.1 Introduction; 4.2 Strength of Association; 4.2.1 Univariate; 4.2.2 Multivariate; 4.2.3 Bias; 4.3 Computer Application I; 4.4 Group Contrasts; 4.4.1 Univariate; 4.4.2 Multivariate; 4.5 Computer Application II; 4.6 Covariance Matrix Heterogeneity; 4.7 Sample Size; 4.8 Summary; Technical Notes; Exercises; 5 Describing MANOVA Effects; 5.1 Introduction; 5.2 Omnibus Effects; 5.2.1 An Eigenanalysis; 5.2.2 Linear Discriminant Functions; 5.3 Computer Application I; 5.4 Standardized LDF Weights; 5.5 LDF Space Dimension; 5.5.1 Statistical Tests; 5.5.2 Proportion of Variance 5.5.3 LDF Plots5.6 Computer Application II; 5.7 Computer Application III; 5.8 Contrast Effects; 5.9 Computer Application IV; 5.10 Summary; Technical Note; Further Reading; Exercises; 6 Deleting and Ordering Variables; 6.1 Introduction; 6.2 Variable Deletion; 6.2.1 Purposes of Deletion; 6.2.2 McCabe Analysis; 6.2.3 Computer Application; 6.3 Variable Ordering; 6.3.1 Meaning of Importance; 6.3.2 Computer Application I; 6.3.3 Variable Ranking; 6.4 Contrast Analyses; 6.5 Computer Application II; 6.6 Comments; Further Reading; Exercises; 7 Reporting DDA Results; 7.1 Introduction 7.2 Example of Reporting DDA Results7.3 Computer Package Information; 7.4 Reporting Terms; 7.5 MANOVA/DDA Applications; 7.6 Concerns; 7.7 Overview; Further Reading; Exercises; III FACTORIAL MANOVA, MANCOVA, AND REPEATED MEASURES; 8 Factorial MANOVA; 8.1 Introduction; 8.2 Research Context; 8.3 Univariate Analysis; 8.4 Multivariate Analysis; 8.4.1 Omnibus Tests; 8.4.2 Distribution Assumptions; 8.5 Computer Application I; 8.6 Computer Application II; 8.7 Nonorthogonal Design; 8.8 Outcome Variable Ordering and Deletion; 8.9 Summary; Technical Notes; Exercises; 9 Analysis of Covariance 9.1 Introduction |
| Record Nr. | UNINA-9910143553903321 |
Huberty Carl J. <1934->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied MANOVA and discriminant analysis / / Carl J. Huberty, Stephen Olejnik
| Applied MANOVA and discriminant analysis / / Carl J. Huberty, Stephen Olejnik |
| Autore | Huberty Carl J. <1934-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Hoboken, N.J. : , : Wiley-Interscience, , [2006] |
| Descrizione fisica | 1 online resource (xxxiv, 488 pages) : illustrations |
| Disciplina | 519.535 |
| Altri autori (Persone) | HubertyCarl J. <1934-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Discriminant analysis
Multivariate analysis |
| ISBN |
1-280-82320-8
9786610823208 0-471-78947-X 0-471-78946-1 |
| Classificazione |
31.73
83.03 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910831078403321 |
|
Huberty Carl J. <1934->
|
||
| Hoboken, N.J. : , : Wiley-Interscience, , [2006] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AStA Wirtschafts- und Sozialstatistisches Archiv
| AStA Wirtschafts- und Sozialstatistisches Archiv |
| Pubbl/distr/stampa | Berlin : , : Springer, , 2007- |
| Descrizione fisica | 1 online resource |
| Disciplina | 310 |
| Soggetto topico |
Statistics
Statistique Economic history Statistiek |
| Soggetto genere / forma |
Periodicals.
Statistics. |
| ISSN | 1863-8163 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | ger |
| Altri titoli varianti | Wirtschafts- und Sozialstatistisches Archiv |
| Record Nr. | UNINA-9910146463003321 |
| Berlin : , : Springer, , 2007- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AStA Wirtschafts- und Sozialstatistisches Archiv
| AStA Wirtschafts- und Sozialstatistisches Archiv |
| Pubbl/distr/stampa | Berlin : , : Springer, , 2007- |
| Descrizione fisica | 1 online resource |
| Disciplina | 310 |
| Soggetto topico |
Statistics
Statistique Economic history Statistiek |
| Soggetto genere / forma |
Periodicals.
Statistics. |
| ISSN | 1863-8163 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | ger |
| Altri titoli varianti | Wirtschafts- und Sozialstatistisches Archiv |
| Record Nr. | UNISA-996197893903316 |
| Berlin : , : Springer, , 2007- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp
| Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp |
| Autore | Kotz Samuel |
| Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (307 p.) |
| Disciplina |
515.782
519.5 |
| Altri autori (Persone) | Van DorpJohan René |
| Soggetto topico |
Theory of distributions (Functional analysis)
Multivariate analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-89702-7
9786611897024 981-270-128-1 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 The Triangular Distribution; Chapter 2 Some Early Extensions of the Triangular Distribution; Chapter 3 The Standard Two-Sided Power Distribution; Chapter 4 The Two-Sided Power Distribution; Chapter 5 The Generalized Trapezoidal Distribution; Chapter 6 Uneven Two-Sided Power Distributions; Chapter 7 The Reflected Generalized Topp and Leone Distribution; Chapter 8 A Generalized Framework for Two-Sided Distributions; Epilogue; Appendix A Graphical Overview of Continuous Univariate Families of Distributions possessing a Bounded Domain
Appendix B The Johnson SB DistributionBibliography; Author Index; Subject Index |
| Record Nr. | UNINA-9910451292403321 |
|
Kotz Samuel
|
||
| Singapore ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp
| Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp |
| Autore | Kotz Samuel |
| Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (307 p.) |
| Disciplina |
515.782
519.5 |
| Altri autori (Persone) | Van DorpJohan René |
| Soggetto topico |
Theory of distributions (Functional analysis)
Multivariate analysis |
| ISBN |
1-281-89702-7
9786611897024 981-270-128-1 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 The Triangular Distribution; Chapter 2 Some Early Extensions of the Triangular Distribution; Chapter 3 The Standard Two-Sided Power Distribution; Chapter 4 The Two-Sided Power Distribution; Chapter 5 The Generalized Trapezoidal Distribution; Chapter 6 Uneven Two-Sided Power Distributions; Chapter 7 The Reflected Generalized Topp and Leone Distribution; Chapter 8 A Generalized Framework for Two-Sided Distributions; Epilogue; Appendix A Graphical Overview of Continuous Univariate Families of Distributions possessing a Bounded Domain
Appendix B The Johnson SB DistributionBibliography; Author Index; Subject Index |
| Record Nr. | UNINA-9910783919003321 |
|
Kotz Samuel
|
||
| Singapore ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beyond beta : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp
| Beyond beta : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp |
| Autore | Kotz Samuel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (307 p.) |
| Disciplina |
515.782
519.5 |
| Altri autori (Persone) | Van DorpJohan René |
| Soggetto topico |
Theory of distributions (Functional analysis)
Multivariate analysis |
| ISBN |
1-281-89702-7
9786611897024 981-270-128-1 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 The Triangular Distribution; Chapter 2 Some Early Extensions of the Triangular Distribution; Chapter 3 The Standard Two-Sided Power Distribution; Chapter 4 The Two-Sided Power Distribution; Chapter 5 The Generalized Trapezoidal Distribution; Chapter 6 Uneven Two-Sided Power Distributions; Chapter 7 The Reflected Generalized Topp and Leone Distribution; Chapter 8 A Generalized Framework for Two-Sided Distributions; Epilogue; Appendix A Graphical Overview of Continuous Univariate Families of Distributions possessing a Bounded Domain
Appendix B The Johnson SB DistributionBibliography; Author Index; Subject Index |
| Record Nr. | UNINA-9910828691903321 |
|
Kotz Samuel
|
||
| Singapore ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of statistical analysis and data mining applications [[electronic resource] /] / Robert Nisbet, John Elder, Gary Miner
| Handbook of statistical analysis and data mining applications [[electronic resource] /] / Robert Nisbet, John Elder, Gary Miner |
| Autore | Nisbet Robert |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Academic Press/Elsevier, c2009 |
| Descrizione fisica | 1 online resource (859 p.) |
| Disciplina |
006.3/12 22
519.5 |
| Altri autori (Persone) |
ElderJohn F (John Fletcher)
MinerGary |
| Soggetto topico |
Data mining - Statistical methods
Multivariate analysis |
| ISBN |
1-282-16831-2
9786612168314 0-08-091203-6 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Handbook of Statistical Analysis and Data Mining Applications; Copyright Page; Table of Contents; Foreword 1; Foreword 2; Preface; Introduction; List of Tutorials by Guest Authors; Part 1: History of Phases of Data Analysis, Basic Theory, and the Data Mining Process; Chapter 1: The Background for Data Mining Practice; Assumptions of the Parametric Model; Two Views of Reality; Aristotle; Plato; The Rise of Modern Statistical Analysis: The Second Generation; Machine Learning Methods: The Third Generation; Statistical Learning Theory: The Fourth Generation
Chapter 2: Theoretical Considerations for Data MiningMajor Issues in Data Mining; General Requirements for Success in a Data Mining Project; The Importance of Domain Knowledge; Postscript; Some Caveats with Data Mining Solutions; Chapter 3: The Data Mining Process; CRISP-DM; Assess the Business Environment for Data Mining; Data Understanding (Mostly Science); References; Preamble; Chapter 4: Data Understanding and Preparation; Preamble; Issues That Should be Resolved; Splitting Data Part 1: Using a Wrapper Approach in Weka to Determine the Most Appropriate Variables for Your Neural Network ModelExample 4; Data Extraction; Data Weighting and Balancing; Data Filtering and Smoothing; Data Abstraction; Data Reduction; Data Sampling; Data Discretization; Data Derivation; Postscript; Chapter 5: Feature Selection; Inductive Database Approach; Bi-variate Methods; Multivariate Methods; Postscript; Complex Methods; The Other Two Ways of Using Feature Selection in STATISTICA: Interactive Workspace; Preamble; Chapter 6: Accessory Tools for Doing Data Mining; Preamble; Introduction Basic Descriptive StatisticsCombining Groups (Classes) for Predictive Data Mining; Generalized Linear Models (GLMs); Data Miner Workspace Templates; Comparison of Models with and Without Time-Based Features; Example: The IDP Facility of STATISTICA Data Miner; Ensembles in General; Part 2: The Algorithms in Data Mining and Text Mining, the Organization of the Three most common Data Mining Tools, and Selected Speci...; Chapter 7: Basic Algorithms for Data Mining: A Brief Overview; Preamble; STATISTICA Data Miner Recipe (DMRecipe); Automated Neural Nets; Generalized Additive Models (GAMs) Outputs of GAMsRecursive Partitioning; Pruning Trees; Bibliography; Chapter 8: Advanced Algorithms for Data Mining; The Physical Data Mart; Summary; Micro-Target the Profitable Customers; Quality Control Data Mining and Root Cause Analysis; Chapter 9: Text Mining and Natural Language Processing; The Development of Text Mining; Chapter 10: The Three Most Common Data Mining Software Tools; Preamble; SPSS Clementine Overview; Preamble; Setting the Default Directory; Visual Data Preparation for Data Mining: Taking Photos, Moving Pictures, and Objects into Spreadsheets Representing the Photos... Preamble |
| Record Nr. | UNINA-9910777944903321 |
|
Nisbet Robert
|
||
| Amsterdam ; ; Boston, : Academic Press/Elsevier, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of statistical analysis and data mining applications / / Robert Nisbet, John Elder, Gary Miner
| Handbook of statistical analysis and data mining applications / / Robert Nisbet, John Elder, Gary Miner |
| Autore | Nisbet Robert |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston : , : Academic Press/Elsevier, , c2009 |
| Descrizione fisica | 1 online resource (859 pages) |
| Disciplina |
006.3/12 22
519.5 006.312015195 |
| Altri autori (Persone) |
ElderJohn F (John Fletcher)
MinerGary |
| Soggetto topico |
Data mining - Statistical methods
Multivariate analysis |
| ISBN |
1-282-16831-2
9786612168314 0-08-091203-6 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Handbook of Statistical Analysis and Data Mining Applications; Copyright Page; Table of Contents; Foreword 1; Foreword 2; Preface; Introduction; List of Tutorials by Guest Authors; Part 1: History of Phases of Data Analysis, Basic Theory, and the Data Mining Process; Chapter 1: The Background for Data Mining Practice; Assumptions of the Parametric Model; Two Views of Reality; Aristotle; Plato; The Rise of Modern Statistical Analysis: The Second Generation; Machine Learning Methods: The Third Generation; Statistical Learning Theory: The Fourth Generation
Chapter 2: Theoretical Considerations for Data MiningMajor Issues in Data Mining; General Requirements for Success in a Data Mining Project; The Importance of Domain Knowledge; Postscript; Some Caveats with Data Mining Solutions; Chapter 3: The Data Mining Process; CRISP-DM; Assess the Business Environment for Data Mining; Data Understanding (Mostly Science); References; Preamble; Chapter 4: Data Understanding and Preparation; Preamble; Issues That Should be Resolved; Splitting Data Part 1: Using a Wrapper Approach in Weka to Determine the Most Appropriate Variables for Your Neural Network ModelExample 4; Data Extraction; Data Weighting and Balancing; Data Filtering and Smoothing; Data Abstraction; Data Reduction; Data Sampling; Data Discretization; Data Derivation; Postscript; Chapter 5: Feature Selection; Inductive Database Approach; Bi-variate Methods; Multivariate Methods; Postscript; Complex Methods; The Other Two Ways of Using Feature Selection in STATISTICA: Interactive Workspace; Preamble; Chapter 6: Accessory Tools for Doing Data Mining; Preamble; Introduction Basic Descriptive StatisticsCombining Groups (Classes) for Predictive Data Mining; Generalized Linear Models (GLMs); Data Miner Workspace Templates; Comparison of Models with and Without Time-Based Features; Example: The IDP Facility of STATISTICA Data Miner; Ensembles in General; Part 2: The Algorithms in Data Mining and Text Mining, the Organization of the Three most common Data Mining Tools, and Selected Speci...; Chapter 7: Basic Algorithms for Data Mining: A Brief Overview; Preamble; STATISTICA Data Miner Recipe (DMRecipe); Automated Neural Nets; Generalized Additive Models (GAMs) Outputs of GAMsRecursive Partitioning; Pruning Trees; Bibliography; Chapter 8: Advanced Algorithms for Data Mining; The Physical Data Mart; Summary; Micro-Target the Profitable Customers; Quality Control Data Mining and Root Cause Analysis; Chapter 9: Text Mining and Natural Language Processing; The Development of Text Mining; Chapter 10: The Three Most Common Data Mining Software Tools; Preamble; SPSS Clementine Overview; Preamble; Setting the Default Directory; Visual Data Preparation for Data Mining: Taking Photos, Moving Pictures, and Objects into Spreadsheets Representing the Photos... Preamble |
| Record Nr. | UNINA-9910823172403321 |
|
Nisbet Robert
|
||
| Amsterdam ; ; Boston : , : Academic Press/Elsevier, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of time series analysis [[electronic resource] ] : recent theoretical developments and applications / / edited by Björn Schelter, Matthias Winterhalder, and Jens Timmer
| Handbook of time series analysis [[electronic resource] ] : recent theoretical developments and applications / / edited by Björn Schelter, Matthias Winterhalder, and Jens Timmer |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2006 |
| Descrizione fisica | 1 online resource (516 p.) |
| Disciplina | 519.55 |
| Altri autori (Persone) |
SchelterBjörn
TimmerJens WinterhalderMatthias |
| Soggetto topico |
Time-series analysis
Harmonic analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-72367-X
9786610723676 3-527-60997-0 3-527-60951-2 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Handbook of Time Series Analysis; Contents; Preface; List of Contributors; 1 Handbook of Time Series Analysis: Introduction and Overview; 2 Nonlinear Analysis of Time Series Data; 2.1 Introduction; 2.2 Unfolding the Data: Embedding Theorem in Practice; 2.2.1 Choosing T: Average Mutual Information; 2.2.2 Choosing D: False Nearest Neighbors; 2.2.3 Interspike Intervals; 2.3 Where are We?; 2.4 Lyapunov Exponents: Prediction, Classification, and Chaos; 2.5 Predicting; 2.6 Modeling; 2.6.1 Modeling Interspike Intervals; 2.6.2 Modeling the Observed Membrane Voltage Time Series; 2.6.3 ODE Modeling
2.7 ConclusionReferences; 3 Local and Cluster Weighted Modeling for Time Series Prediction; 3.1 Introduction; 3.1.1 Time Series Prediction; 3.1.2 Cross Prediction; 3.1.3 Bias, Variance, Overfitting; 3.2 Local Modeling; 3.2.1 Validation; 3.2.2 Local Polynomial Models; 3.2.3 Local Averaging Models; 3.2.4 Locally Linear Models; 3.2.5 Parameters of Local Modeling; 3.2.6 Regularization; 3.2.7 Optimization of Local Models; 3.3 Cluster Weighted Modeling; 3.3.1 The EM Algorithm; 3.4 Examples; 3.4.1 Noise Reduction; 3.4.2 Signal Through Chaotic Channel; 3.4.3 Friction Modeling; 3.5 Conclusion References4 Deterministic and Probabilistic Forecasting in Reconstructed State Spaces; 4.1 Introduction; 4.2 Determinism and Embedding; 4.3 Stochastic Processes; 4.4 Events and Classification Error; 4.5 Conclusions; References; 5 Dealing with Randomness in Biosignals; 5.1 Introduction; 5.1.1 Determinism: Does It Exist?; 5.1.2 Randomness: An Illusion?; 5.1.3 Randomness and Noise; 5.2 How Do Biological Systems Cope with or Use Randomness?; 5.2.1 Uncertainty Principle in Biology; 5.2.2 Stochastic Resonance in Biology; 5.3 How Do Scientists and Engineers Cope with Randomness and Noise? 5.4 A Selection of Coping Approaches5.4.1 Global State-Space Principal Component Analysis; 5.4.2 Local State-Space Principal Component Analysis; 5.5 Applications; 5.5.1 Cardiovascular Signals: Observer of the Autonomic Cardiac Modulation; 5.5.2 Electroencephalogram: Spontaneous EEG and Evoked Potentials; 5.5.3 Speech Enhancement; 5.6 Conclusions; References; 6 Robust Detail-Preserving Signal Extraction; 6.1 Introduction; 6.2 Filters Based on Local Constant Fits; 6.2.1 Standard Median Filters; 6.2.2 Modified Order Statistic Filters; 6.2.3 Weighted Median Filters 6.3 Filters Based on Local Linear Fits6.3.1 Filters Based on Robust Regression; 6.3.2 Modified Repeated Median Filters; 6.3.3 Weighted Repeated Median Filters; 6.4 Modifications for Better Preservation of Shifts; 6.4.1 Linear Median Hybrid Filters; 6.4.2 Repeated Median Hybrid Filters; 6.4.3 Level Shift Detection; 6.4.4 Impulse Detection; 6.5 Conclusions; References; 7 Coupled Oscillators Approach in Analysis of Bivariate Data; 7.1 Bivariate Data Analysis: Model-Based Versus Nonmodel-Based Approach; 7.1.1 Coupled Oscillators: Main Effects 7.1.2 Weakly Coupled Oscillators: Phase Dynamics Description |
| Record Nr. | UNINA-9910144750203321 |
| Weinheim, : Wiley-VCH, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
