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ADSO 3.20. mode d’emploi / / Alain Dubus
| ADSO 3.20. mode d’emploi / / Alain Dubus |
| Autore | Dubus Alain |
| Pubbl/distr/stampa | Villeneuve d'Ascq, : Presses universitaires du Septentrion, 2021 |
| Descrizione fisica | 1 online resource (152 p.) |
| Collana | Éducation et didactiques |
| Soggetto topico |
Social sciences - Statistical methods - Computer programs
Social sciences - Research - Statistical methods |
| Soggetto non controllato |
informatique
logiciel ADSO 3.2 Université de Lille |
| ISBN | 2-7574-3449-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910502603103321 |
Dubus Alain
|
||
| Villeneuve d'Ascq, : Presses universitaires du Septentrion, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Improving surveys with paradata : analytic uses of process information / / editor, Frauke Kreuter
| Improving surveys with paradata : analytic uses of process information / / editor, Frauke Kreuter |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley & Sons, 2013 |
| Descrizione fisica | 1 online resource (418 p.) |
| Disciplina | 001.4/33 |
| Altri autori (Persone) | KreuterFrauke |
| Collana | Wiley series in survey methodology |
| Soggetto topico |
Surveys - Statistical methods
Social surveys - Statistical methods Social sciences - Research - Statistical methods |
| ISBN |
1-118-59686-2
1-118-59163-1 1-118-59145-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. I. Paradata and survey errors -- pt. II. Paradata in survey production -- pt. III. Special challenges. |
| Record Nr. | UNINA-9910139018403321 |
| Hoboken, N.J., : Wiley & Sons, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Improving surveys with paradata : analytic uses of process information / / editor, Frauke Kreuter
| Improving surveys with paradata : analytic uses of process information / / editor, Frauke Kreuter |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley & Sons, 2013 |
| Descrizione fisica | 1 online resource (418 p.) |
| Disciplina | 001.4/33 |
| Altri autori (Persone) | KreuterFrauke |
| Collana | Wiley series in survey methodology |
| Soggetto topico |
Surveys - Statistical methods
Social surveys - Statistical methods Social sciences - Research - Statistical methods |
| ISBN |
9781118596869
1118596862 9781118591635 1118591631 9781118591451 1118591453 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. I. Paradata and survey errors -- pt. II. Paradata in survey production -- pt. III. Special challenges. |
| Record Nr. | UNINA-9910825517603321 |
| Hoboken, N.J., : Wiley & Sons, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees [[electronic resource]]
| Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees [[electronic resource]] |
| Autore | Frees Edward W. |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2004 |
| Descrizione fisica | 1 online resource (xvi, 467 pages) : digital, PDF file(s) |
| Disciplina | 300/.72/7 |
| Soggetto topico |
Social sciences - Research - Statistical methods
Longitudinal method Panel analysis Social sciences - Mathematical models Social sciences - Statistical methods |
| ISBN |
1-107-14754-9
1-280-54050-8 0-511-79092-9 0-511-21527-4 0-511-21706-4 0-511-21169-4 0-511-31569-4 0-511-21346-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Fixed-Effects Models; 3 Models with Random Effects; 4 Prediction and Bayesian Inference; 5 Multilevel Models; 6 Stochastic Regressors; 7 Modeling Issues; 8 Dynamic Models; 9 Binary Dependent Variables; 10 Generalized Linear Models; 11 Categorical Dependent Variables and Survival Models; Appendix A Elements of Matrix Algebra; Appendix B Normal Distribution; Appendix C Likelihood-Based Inference; Appendix D State Space Model and the Kalman Filter; Appendix E Symbols and Notation
Appendix F Selected Longitudinal and Panel Data SetsReferences; Index |
| Altri titoli varianti | Longitudinal & Panel Data |
| Record Nr. | UNINA-9910458150503321 |
|
Frees Edward W.
|
||
| Cambridge : , : Cambridge University Press, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees
| Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees |
| Autore | Frees Edward W. |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2004 |
| Descrizione fisica | 1 online resource (xvi, 467 pages) : illustrations; digital, PDF file(s) |
| Disciplina | 300/.72/7 |
| Soggetto topico |
Social sciences - Research - Statistical methods
Longitudinal method Panel analysis Social sciences - Mathematical models Social sciences - Statistical methods |
| ISBN |
1-107-14754-9
1-280-54050-8 0-511-79092-9 0-511-21527-4 0-511-21706-4 0-511-21169-4 0-511-31569-4 0-511-21346-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Fixed-Effects Models; 3 Models with Random Effects; 4 Prediction and Bayesian Inference; 5 Multilevel Models; 6 Stochastic Regressors; 7 Modeling Issues; 8 Dynamic Models; 9 Binary Dependent Variables; 10 Generalized Linear Models; 11 Categorical Dependent Variables and Survival Models; Appendix A Elements of Matrix Algebra; Appendix B Normal Distribution; Appendix C Likelihood-Based Inference; Appendix D State Space Model and the Kalman Filter; Appendix E Symbols and Notation; Appendix F Selected Longitudinal and Panel Data Sets; References; Index |
| Altri titoli varianti | Longitudinal & Panel Data |
| Record Nr. | UNINA-9910784438003321 |
|
Frees Edward W.
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||
| Cambridge : , : Cambridge University Press, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons
| Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons |
| Autore | Hedeker Donald R. <1958-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina |
519.5
610.72/7 |
| Altri autori (Persone) | GibbonsRobert D. <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Longitudinal method
Medicine - Research - Statistical methods Medical sciences - Research - Statistical methods Social sciences - Research - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-44761-3
9786610447619 0-470-03648-6 0-470-03647-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
LONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect
2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 6.2 Covariance Pattern Models |
| Record Nr. | UNINA-9910143573903321 |
|
Hedeker Donald R. <1958->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons
| Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons |
| Autore | Hedeker Donald R. <1958-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina |
519.5
610.72/7 |
| Altri autori (Persone) | GibbonsRobert D. <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Longitudinal method
Medicine - Research - Statistical methods Medical sciences - Research - Statistical methods Social sciences - Research - Statistical methods |
| ISBN |
1-280-44761-3
9786610447619 0-470-03648-6 0-470-03647-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
LONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect
2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 6.2 Covariance Pattern Models |
| Record Nr. | UNINA-9910830719503321 |
|
Hedeker Donald R. <1958->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal data analysis / / Donald Hedeker, Robert D. Gibbons
| Longitudinal data analysis / / Donald Hedeker, Robert D. Gibbons |
| Autore | Hedeker Donald R. <1958-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina | 610.72/7 |
| Altri autori (Persone) | GibbonsRobert D. <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Longitudinal method
Medicine - Research - Statistical methods Medical sciences - Research - Statistical methods Social sciences - Research - Statistical methods |
| ISBN |
1-280-44761-3
9786610447619 0-470-03648-6 0-470-03647-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
LONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect
2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 6.2 Covariance Pattern Models |
| Record Nr. | UNINA-9910877657203321 |
|
Hedeker Donald R. <1958->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measure, probability, and mathematical finance : a problem oriented approach / / Guojun Gan, Chaoqun Ma, Hong Xie
| Measure, probability, and mathematical finance : a problem oriented approach / / Guojun Gan, Chaoqun Ma, Hong Xie |
| Autore | Gan Guojun <1979-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (741 p.) |
| Disciplina | 332.01/5195 |
| Soggetto topico |
Finance - Mathematical models
Social sciences - Research - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-83198-5
1-118-83757-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
MEASURE, PROBABILITY, AND MATHEMATICAL FINANCE: A Problem-Oriented Approach; Copyright; CONTENTS; Preface; Financial Glossary; PART I MEASURE THEORY; 1 Sets and Sequences; 1.1 Basic Concepts and Facts; 1.2 Problems; 1.3 Hints; 1.4 Solutions; 1.5 Bibliographic Notes; 2 MEASURES; 2.1 Basic Concepts and Facts; 2.2 Problems; 2.3 Hints; 2.4 Solutions; 2.5 Bibliographic Notes; 3 EXTENSION OF MEASURES; 3.1 Basic Concepts and Facts; 3.2 Problems; 3.3 Hints; 3.4 Solutions; 3.5 Bibliographic Notes; 4 LEBESGUE-STIELT JES MEASURES; 4.1 Basic Concepts and Facts; 4.2 Problems; 4.3 Hints; 4.4 Solutions
4.5 Bibliographic Notes5 MEASURABLE FUNCTIONS; 5.1 Basic Concepts and Facts; 5.2 Problems; 5.3 Hints; 5.4 Solutions; 5.5 Bibliographic Notes; 6 LEBESGUE INTEGRATION; 6.1 Basic Concepts and Facts; 6.2 Problems; 6.3 Hints; 6.4 Solutions; 6.5 Bibliographic Notes; 7 THE RADON-NIKODYM THEOREM; 7.1 Basic Concepts and Facts; 7.2 Problems; 7.3 Hints; 7.4 Solutions; 7.5 Bibliographic Notes; 8 LP SPACES; 8.1 Basic Concepts and Facts; 8.2 Problems; 8.3 Hints; 8.4 Solutions; 8.5 Bibliographic Notes; 9 CONVERGENCE; 9.1 Basic Concepts and Facts; 9.2 Problems; 9.3 Hints; 9.4 Solutions 9.5 Bibliographic Notes10 PRODUCT MEASURES; 10.1 Basic Concepts and Facts; 10.2 Problems; 10.3 Hints; 10.4 Solutions; 10.5 Bibliographic Notes; PART IIPROBABILITY THEORY; 11 EVENTS AND RANDOM VARIABLES; 11.1 Basic Concepts and Facts; 11.2 Problems; 11.3 Hints; 11.4 Solutions; 11.5 Bibliographic Notes; 12 INDEPENDENCE; 12.1 Basic Concepts and Facts; 12.2 Problems; 12.3 Hints; 12.4 Solutions; 12.5 Bibliographic Notes; 13 EXPECTATION; 13.1 Basic Concepts and Facts; 13.2 Problems; 13.3 Hints; 13.4 Solutions; 13.5 Bibliographic Notes; 14 CONDITIONAL EXPECTATION; 14.1 Basic Concepts and Facts 14.2 Problems14.3 Hints; 14.4 Solutions; 14.5 Bibliographic Notes; 15 INEQUALITIES; 15.1 Basic Concepts and Facts; 15.2 Problems; 15.3 Hints; 15.4 Solutions; 15.5 Bibliographic Notes; 16 LAW OF LARGE NUMBERS; 16.1 Basic Concepts and Facts; 16.2 Problems; 16.3 Hints; 16.4 Solutions; 16.5 Bibliographic Notes; 17 CHARACTERISTIC FUNCTIONS; 17.1 Basic Concepts and Facts; 17.2 Problems; 17.3 Hints; 17.4 Solutions; 17.5 Bibliographic Notes; 18 DISCRETE DISTRIBUTIONS; 18.1 Basic Concepts and Facts; 18.2 Problems; 18.3 Hints; 18.4 Solutions; 18.5 Bibliographic Notes; 19 CONTINUOUS DISTRIBUTIONS 19.1 Basic Concepts and Facts19.2 Problems; 19.3 Hints; 19.4 Solutions; 19.5 Bibliographic Notes; 20 CENTRAL LIMIT THEOREMS; 20.1 Basic Concepts and Facts; 20.2 Problems; 20.3 Hints; 20.4 Solutions; 20.5 Bibliographic Notes; PART III STOCHASTIC PROCESSES; 21 STOCHASTIC PROCESSES; 21.1 Basic Concepts and Facts; 21.2 Problems; 21.3 Hints; 21.4 Solutions; 21.5 Bibliographic Notes; 22 MARTINGALES; 22.1 Basic Concepts and Facts; 22.2 Problems; 22.3 Hints; 22.4 Solutions; 22.5 Bibliographic Notes; 23 STOPPING TIMES; 23.1 Basic Concepts and Facts; 23.2 Problems; 23.3 Hints; 23.4 Solutions 23.5 Bibliographic Notes |
| Record Nr. | UNINA-9910464771303321 |
|
Gan Guojun <1979->
|
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| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for intensive longitudinal data [[electronic resource] /] / edited by Theodore A. Walls and Joseph L. Schafer
| Models for intensive longitudinal data [[electronic resource] /] / edited by Theodore A. Walls and Joseph L. Schafer |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2006 |
| Descrizione fisica | 1 online resource (311 p.) |
| Disciplina | 300/.72/7 |
| Altri autori (Persone) |
WallsTheodore A
SchaferJ. L (Joseph L.) |
| Soggetto topico |
Social sciences - Research - Statistical methods
Social sciences Longitudinal method |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-19-803866-6
1-280-55918-7 1-4294-0521-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Contributors; Introduction: Intensive Longitudinal Data; 1 Multilevel Models for Intensive Longitudinal Data; 1.1 Behavioral Scientific Motivations for Collecting Intensive Longitudinal Data; 1.2 Overview of Multilevel Models; 1.3 Applying Multilevel Modeling to Intensive Longitudinal Data; 1.4 Application: Control and Choice in Indian Schoolchildren; 1.5 Summary; 2 Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations; 2.1 What Is GEE Regression?; 2.2 Practical Considerations in the Application of GEE
2.3 Application: Reanalysis of the Control and Choice Data Using GEE3 A Local Linear Estimation Procedure for Functional Multilevel Modeling; 3.1 The Model; 3.2 Practical Considerations; 3.3 Application: Smoking Cessation Study; 3.4 Discussion; 4 Application of Item Response Theory Models for Intensive Longitudinal Data; 4.1 IRT Model; 4.2 Estimation; 4.3 Application: Adolescent Smoking Study; 4.4 Discussion; 5 Fitting Curves with Periodic and Nonperiodic Trends and Their Interactions with Intensive Longitudinal Data; 5.1 Periodic and Nonperiodic Trends; 5.2 The Model 5.3 Application: Personality Data5.4 Discussion; 6 Multilevel Autoregressive Modeling of Interindividual Differences in the Stability of a Process; 6.1 Defining Stability as Regularity in a Time Series; 6.2 Multilevel Models; 6.3 A Multilevel AR(1) Model; 6.4 Application: Daily Alcohol Use; 6.5 Estimating This Model in SAS PROC MIXED; 6.6 Predicting the Individual AR(1) Coefficients; 6.7 Discussion; 7 The State-Space Approach to Modeling Dynamic Processes; 7.1 Gaussian State-Space Models; 7.2 Some Special Cases of State-Space Models; 7.3 Parameter Estimation 7.4 Application 1: Connectivity Analysis with fMRI Data7.5 Application 2: Testing the Induced Demand Hypothesis from Matched Traffic Profiles; 7.6 Conclusions; 8 The Control of Behavioral Input/Output Systems; 8.1 A Typical Input/Output System; 8.2 Modeling System Dynamics; 8.3 Controller Strategies to Meet an Output Target; 8.4 Fitting Dynamic Models to Intensive Longitudinal Data; 9 Dynamical Systems Modeling: An Application to the Regulation of Intimacy and Disclosure in Marriage; 9.1 Self-Regulation and Intrinsic Dynamics; 9.2 Coupled Regulation and Coupled Dynamics 9.3 Time-Delay Embedding9.4 Accounting for Individual Differences in Dynamics; 9.5 Application: Daily Intimacy and Disclosure in Married Couples; 9.6 Discussion; 10 Point Process Models for Event History Data: Applications in Behavioral Science; 10.1 Ecological Momentary Assessment of Smoking; 10.2 Point Process Models; 10.3 Application: An EMA Study of Smoking Data; 10.4 Discussion of Results; 10.5 Multivariate Point Patterns; 11 Emerging Technologies and Next-Generation Intensive Longitudinal Data Collection; 11.1 Intensive Data Collection Systems 11.2 Statistical Issues for Intensive Longitudinal Measurement |
| Record Nr. | UNINA-9910465141603321 |
| Oxford ; ; New York, : Oxford University Press, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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