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Biblioteca

MARC Lista (tabellare)
Modern regression methods / Thomas P. Ryan
Modern regression methods / Thomas P. Ryan
Autore Ryan, Thomas P.
Pubbl/distr/stampa New York [etc.!, : John Wiley, ©1997
Descrizione fisica XIX, 515 p. ; 24 cm + 1 floppy disk.
Disciplina 519.536
Collana Wiley series in probability and statistics, . Applied probability and statistics
Soggetto topico Analisi della regressione
ISBN 0471529125
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAS-UFI0261429
Ryan, Thomas P.  
New York [etc.!, : John Wiley, ©1997
Materiale a stampa
Lo trovi qui: Univ. di Cassino
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Modern regression methods / Thomas P. Ryan
Modern regression methods / Thomas P. Ryan
Autore Ryan, Thomas P.
Pubbl/distr/stampa New York [etc.!, : John Wiley, ©1997
Descrizione fisica XIX, 515 p. ; 24 cm + 1 floppy disk.
Disciplina 519.536
Collana Wiley series in probability and statistics, . Applied probability and statistics
Soggetto topico Regressione lineare
ISBN 0471529125
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-UFI0261429
Ryan, Thomas P.  
New York [etc.!, : John Wiley, ©1997
Materiale a stampa
Lo trovi qui: Univ. del Sannio
Opac: Controlla la disponibilità qui
Modern regression techniques using R [[electronic resource] ] : a practical guide for students and researchers / / Daniel B. Wright and Kamala London
Modern regression techniques using R [[electronic resource] ] : a practical guide for students and researchers / / Daniel B. Wright and Kamala London
Autore Wright Daniel B
Pubbl/distr/stampa Los Angeles, [Calif.] ; ; London, : SAGE, 2009
Descrizione fisica 1 online resource (217 p.)
Disciplina 300.72
519.536
Altri autori (Persone) LondonKamala
Soggetto topico Regression analysis
Social sciences - Statistical methods
Free computer software
Soggetto genere / forma Electronic books.
ISBN 1-4462-4410-5
1-283-28914-8
9786613289148
1-4462-0602-5
0-85702-449-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Contents; Preface; 1 Very brief introduction to R; 2 The basic regression; 3 ANOVA as regression; 4 ANCOVA: Lord's paradox and mediation analysis; 5 Model selection and shrinkage; 6 Generalized linear models (GLMs); 7 Regression splines and generalized additive models (GAMs); 8 Multilevel models; 9 Robust regression; 10 Conclusion - make your data cool; Glossary of R functions used in this book; References; Index
Record Nr. UNINA-9910464112403321
Wright Daniel B  
Los Angeles, [Calif.] ; ; London, : SAGE, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Multiple regression and beyond / / Timothy Z. Keith
Multiple regression and beyond / / Timothy Z. Keith
Autore Keith Timothy Z. <1952->
Edizione [First, Pearson new international edition.]
Pubbl/distr/stampa Harlow, England : , : Pearson, , [2014]
Descrizione fisica 1 online resource (492 pages) : illustrations, tables
Disciplina 519.536
Collana Always Learning
Soggetto topico Regression analysis
ISBN 1-292-05380-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Table of Contents -- 1. Introduction and Simple (Bivariate) Regression -- 2. Multiple Regression: Introduction -- 3. Multiple Regression: More Detail -- 4. Three and More Independent Variables and Related Issues -- 5. Three Types of Multiple Regression -- 6. Analysis of Categorical Variables -- 7. Categorical and Continuous Variables -- 8. Continuous Variables: Interactions and Curves -- 9. Multiple Regression: Summary, Further Study, and Problems -- 10. Path Modeling: Structural Equation Modeling with Measured Variables -- 11. Path Analysis: Dangers and Assumptions -- 12. Analyzing Path Models Using SEM Programs -- 13. Error: The Scourge of Research -- 14. Conformatory Factor Analysis -- 15. Putting it All Together: Introduction to Latent Variable SEM -- 16. Latent Variable Models: More Advanced Topics -- Appendix: Sample Statistical Programs and Multiple Regression Output -- Appendix: Sample Output from SEM Programs -- Appendix: Partial and Semipartial Correlation -- Appendix: Review of Basic Statistics Concepts -- Index.
Record Nr. UNINA-9910153085303321
Keith Timothy Z. <1952->  
Harlow, England : , : Pearson, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multiple regression and the analysis of variance and covariance / Allen L. Edwards
Multiple regression and the analysis of variance and covariance / Allen L. Edwards
Autore Edwards, Allen Louis
Edizione [2nd ed]
Pubbl/distr/stampa New York : W. H. Freeman, c1985
Descrizione fisica xv, 221 p. ; 24 cm.
Disciplina 519.536
Collana A Series of books in psychology
Soggetto topico Analysis of variance
Psychometrics
Regression analysis
ISBN 0716717042
Classificazione AMS 62J10
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001161589707536
Edwards, Allen Louis  
New York : W. H. Freeman, c1985
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Multivariable model-building [[electronic resource] ] : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables / / Patrick Royston, Willi Sauerbrei
Multivariable model-building [[electronic resource] ] : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables / / Patrick Royston, Willi Sauerbrei
Autore Royston Patrick
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008
Descrizione fisica 1 online resource (323 p.)
Disciplina 519.5
519.536
Altri autori (Persone) SauerbreiWilli
Collana Wiley series in probability and statistics
Soggetto topico Regression analysis
Polynomials
Variables (Mathematics)
ISBN 1-281-84100-5
9786611841003
0-470-77077-5
0-470-77078-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multivariable Model-Building; Contents; Preface; 1 Introduction; 1.1 Real-Life Problems as Motivation for Model Building; 1.1.1 Many Candidate Models; 1.1.2 Functional Form for Continuous Predictors; 1.1.3 Example 1: Continuous Response; 1.1.4 Example 2: Multivariable Model for Survival Data; 1.2 Issues in Modelling Continuous Predictors; 1.2.1 Effects of Assumptions; 1.2.2 Global versus Local Influence Models; 1.2.3 Disadvantages of Fractional Polynomial Modelling; 1.2.4 Controlling Model Complexity; 1.3 Types of Regression Model Considered; 1.3.1 Normal-Errors Regression
1.3.2 Logistic Regression1.3.3 Cox Regression; 1.3.4 Generalized Linear Models; 1.3.5 Linear and Additive Predictors; 1.4 Role of Residuals; 1.4.1 Uses of Residuals; 1.4.2 Graphical Analysis of Residuals; 1.5 Role of Subject-Matter Knowledge in Model Development; 1.6 Scope of Model Building in our Book; 1.7 Modelling Preferences; 1.7.1 General Issues; 1.7.2 Criteria for a Good Model; 1.7.3 Personal Preferences; 1.8 General Notation; 2 Selection of Variables; 2.1 Introduction; 2.2 Background; 2.3 Preliminaries for a Multivariable Analysis; 2.4 Aims of Multivariable Models
2.5 Prediction: Summary Statistics and Comparisons2.6 Procedures for Selecting Variables; 2.6.1 Strength of Predictors; 2.6.2 Stepwise Procedures; 2.6.3 All-Subsets Model Selection Using Information Criteria; 2.6.4 Further Considerations; 2.7 Comparison of Selection Strategies in Examples; 2.7.1 Myeloma Study; 2.7.2 Educational Body-Fat Data; 2.7.3 Glioma Study; 2.8 Selection and Shrinkage; 2.8.1 Selection Bias; 2.8.2 Simulation Study; 2.8.3 Shrinkage to Correct for Selection Bias; 2.8.4 Post-estimation Shrinkage; 2.8.5 Reducing Selection Bias; 2.8.6 Example; 2.9 Discussion
2.9.1 Model Building in Small Datasets2.9.2 Full, Pre-specified or Selected Model?; 2.9.3 Comparison of Selection Procedures; 2.9.4 Complexity, Stability and Interpretability; 2.9.5 Conclusions and Outlook; 3 Handling Categorical and Continuous Predictors; 3.1 Introduction; 3.2 Types of Predictor; 3.2.1 Binary; 3.2.2 Nominal; 3.2.3 Ordinal, Counting, Continuous; 3.2.4 Derived; 3.3 Handling Ordinal Predictors; 3.3.1 Coding Schemes; 3.3.2 Effect of Coding Schemes on Variable Selection; 3.4 Handling Counting and Continuous Predictors: Categorization
3.4.1 'Optimal' Cutpoints: A Dangerous Analysis3.4.2 Other Ways of Choosing a Cutpoint; 3.5 Example: Issues in Model Building with Categorized Variables; 3.5.1 One Ordinal Variable; 3.5.2 Several Ordinal Variables; 3.6 Handling Counting and Continuous Predictors: Functional Form; 3.6.1 Beyond Linearity; 3.6.2 Does Nonlinearity Matter?; 3.6.3 Simple versus Complex Functions; 3.6.4 Interpretability and Transportability; 3.7 Empirical Curve Fitting; 3.7.1 General Approaches to Smoothing; 3.7.2 Critique of Local and Global Influence Models; 3.8 Discussion; 3.8.1 Sparse Categories
3.8.2 Choice of Coding Scheme
Record Nr. UNINA-9910144118703321
Royston Patrick  
Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariable model-building [[electronic resource] ] : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables / / Patrick Royston, Willi Sauerbrei
Multivariable model-building [[electronic resource] ] : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables / / Patrick Royston, Willi Sauerbrei
Autore Royston Patrick
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008
Descrizione fisica 1 online resource (323 p.)
Disciplina 519.5
519.536
Altri autori (Persone) SauerbreiWilli
Collana Wiley series in probability and statistics
Soggetto topico Regression analysis
Polynomials
Variables (Mathematics)
ISBN 1-281-84100-5
9786611841003
0-470-77077-5
0-470-77078-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multivariable Model-Building; Contents; Preface; 1 Introduction; 1.1 Real-Life Problems as Motivation for Model Building; 1.1.1 Many Candidate Models; 1.1.2 Functional Form for Continuous Predictors; 1.1.3 Example 1: Continuous Response; 1.1.4 Example 2: Multivariable Model for Survival Data; 1.2 Issues in Modelling Continuous Predictors; 1.2.1 Effects of Assumptions; 1.2.2 Global versus Local Influence Models; 1.2.3 Disadvantages of Fractional Polynomial Modelling; 1.2.4 Controlling Model Complexity; 1.3 Types of Regression Model Considered; 1.3.1 Normal-Errors Regression
1.3.2 Logistic Regression1.3.3 Cox Regression; 1.3.4 Generalized Linear Models; 1.3.5 Linear and Additive Predictors; 1.4 Role of Residuals; 1.4.1 Uses of Residuals; 1.4.2 Graphical Analysis of Residuals; 1.5 Role of Subject-Matter Knowledge in Model Development; 1.6 Scope of Model Building in our Book; 1.7 Modelling Preferences; 1.7.1 General Issues; 1.7.2 Criteria for a Good Model; 1.7.3 Personal Preferences; 1.8 General Notation; 2 Selection of Variables; 2.1 Introduction; 2.2 Background; 2.3 Preliminaries for a Multivariable Analysis; 2.4 Aims of Multivariable Models
2.5 Prediction: Summary Statistics and Comparisons2.6 Procedures for Selecting Variables; 2.6.1 Strength of Predictors; 2.6.2 Stepwise Procedures; 2.6.3 All-Subsets Model Selection Using Information Criteria; 2.6.4 Further Considerations; 2.7 Comparison of Selection Strategies in Examples; 2.7.1 Myeloma Study; 2.7.2 Educational Body-Fat Data; 2.7.3 Glioma Study; 2.8 Selection and Shrinkage; 2.8.1 Selection Bias; 2.8.2 Simulation Study; 2.8.3 Shrinkage to Correct for Selection Bias; 2.8.4 Post-estimation Shrinkage; 2.8.5 Reducing Selection Bias; 2.8.6 Example; 2.9 Discussion
2.9.1 Model Building in Small Datasets2.9.2 Full, Pre-specified or Selected Model?; 2.9.3 Comparison of Selection Procedures; 2.9.4 Complexity, Stability and Interpretability; 2.9.5 Conclusions and Outlook; 3 Handling Categorical and Continuous Predictors; 3.1 Introduction; 3.2 Types of Predictor; 3.2.1 Binary; 3.2.2 Nominal; 3.2.3 Ordinal, Counting, Continuous; 3.2.4 Derived; 3.3 Handling Ordinal Predictors; 3.3.1 Coding Schemes; 3.3.2 Effect of Coding Schemes on Variable Selection; 3.4 Handling Counting and Continuous Predictors: Categorization
3.4.1 'Optimal' Cutpoints: A Dangerous Analysis3.4.2 Other Ways of Choosing a Cutpoint; 3.5 Example: Issues in Model Building with Categorized Variables; 3.5.1 One Ordinal Variable; 3.5.2 Several Ordinal Variables; 3.6 Handling Counting and Continuous Predictors: Functional Form; 3.6.1 Beyond Linearity; 3.6.2 Does Nonlinearity Matter?; 3.6.3 Simple versus Complex Functions; 3.6.4 Interpretability and Transportability; 3.7 Empirical Curve Fitting; 3.7.1 General Approaches to Smoothing; 3.7.2 Critique of Local and Global Influence Models; 3.8 Discussion; 3.8.1 Sparse Categories
3.8.2 Choice of Coding Scheme
Record Nr. UNINA-9910830897103321
Royston Patrick  
Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariable model-building [[electronic resource] ] : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables / / Patrick Royston, Willi Sauerbrei
Multivariable model-building [[electronic resource] ] : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables / / Patrick Royston, Willi Sauerbrei
Autore Royston Patrick
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008
Descrizione fisica 1 online resource (323 p.)
Disciplina 519.5
519.536
Altri autori (Persone) SauerbreiWilli
Collana Wiley series in probability and statistics
Soggetto topico Regression analysis
Polynomials
Variables (Mathematics)
ISBN 1-281-84100-5
9786611841003
0-470-77077-5
0-470-77078-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multivariable Model-Building; Contents; Preface; 1 Introduction; 1.1 Real-Life Problems as Motivation for Model Building; 1.1.1 Many Candidate Models; 1.1.2 Functional Form for Continuous Predictors; 1.1.3 Example 1: Continuous Response; 1.1.4 Example 2: Multivariable Model for Survival Data; 1.2 Issues in Modelling Continuous Predictors; 1.2.1 Effects of Assumptions; 1.2.2 Global versus Local Influence Models; 1.2.3 Disadvantages of Fractional Polynomial Modelling; 1.2.4 Controlling Model Complexity; 1.3 Types of Regression Model Considered; 1.3.1 Normal-Errors Regression
1.3.2 Logistic Regression1.3.3 Cox Regression; 1.3.4 Generalized Linear Models; 1.3.5 Linear and Additive Predictors; 1.4 Role of Residuals; 1.4.1 Uses of Residuals; 1.4.2 Graphical Analysis of Residuals; 1.5 Role of Subject-Matter Knowledge in Model Development; 1.6 Scope of Model Building in our Book; 1.7 Modelling Preferences; 1.7.1 General Issues; 1.7.2 Criteria for a Good Model; 1.7.3 Personal Preferences; 1.8 General Notation; 2 Selection of Variables; 2.1 Introduction; 2.2 Background; 2.3 Preliminaries for a Multivariable Analysis; 2.4 Aims of Multivariable Models
2.5 Prediction: Summary Statistics and Comparisons2.6 Procedures for Selecting Variables; 2.6.1 Strength of Predictors; 2.6.2 Stepwise Procedures; 2.6.3 All-Subsets Model Selection Using Information Criteria; 2.6.4 Further Considerations; 2.7 Comparison of Selection Strategies in Examples; 2.7.1 Myeloma Study; 2.7.2 Educational Body-Fat Data; 2.7.3 Glioma Study; 2.8 Selection and Shrinkage; 2.8.1 Selection Bias; 2.8.2 Simulation Study; 2.8.3 Shrinkage to Correct for Selection Bias; 2.8.4 Post-estimation Shrinkage; 2.8.5 Reducing Selection Bias; 2.8.6 Example; 2.9 Discussion
2.9.1 Model Building in Small Datasets2.9.2 Full, Pre-specified or Selected Model?; 2.9.3 Comparison of Selection Procedures; 2.9.4 Complexity, Stability and Interpretability; 2.9.5 Conclusions and Outlook; 3 Handling Categorical and Continuous Predictors; 3.1 Introduction; 3.2 Types of Predictor; 3.2.1 Binary; 3.2.2 Nominal; 3.2.3 Ordinal, Counting, Continuous; 3.2.4 Derived; 3.3 Handling Ordinal Predictors; 3.3.1 Coding Schemes; 3.3.2 Effect of Coding Schemes on Variable Selection; 3.4 Handling Counting and Continuous Predictors: Categorization
3.4.1 'Optimal' Cutpoints: A Dangerous Analysis3.4.2 Other Ways of Choosing a Cutpoint; 3.5 Example: Issues in Model Building with Categorized Variables; 3.5.1 One Ordinal Variable; 3.5.2 Several Ordinal Variables; 3.6 Handling Counting and Continuous Predictors: Functional Form; 3.6.1 Beyond Linearity; 3.6.2 Does Nonlinearity Matter?; 3.6.3 Simple versus Complex Functions; 3.6.4 Interpretability and Transportability; 3.7 Empirical Curve Fitting; 3.7.1 General Approaches to Smoothing; 3.7.2 Critique of Local and Global Influence Models; 3.8 Discussion; 3.8.1 Sparse Categories
3.8.2 Choice of Coding Scheme
Record Nr. UNINA-9910841042503321
Royston Patrick  
Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate reduced-rank regression : theory and applications / Gregory C. Reinsel, Raja P. Velu
Multivariate reduced-rank regression : theory and applications / Gregory C. Reinsel, Raja P. Velu
Autore Reinsel, Gregory C.
Pubbl/distr/stampa New York [etc.] : Springer, c1998
Descrizione fisica XIII, 258 p. ; 24 cm.
Disciplina 519.536
Altri autori (Persone) Velu, Raja P.
Collana Lecture notes in statistics
Soggetto topico Statistica
ISBN 0-387-98601-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNIBAS-000016372
Reinsel, Gregory C.  
New York [etc.] : Springer, c1998
Materiale a stampa
Lo trovi qui: Univ. della Basilicata
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Nonlinear regression [[electronic resource] /] / G.A.F. Seber and C.J. Wild
Nonlinear regression [[electronic resource] /] / G.A.F. Seber and C.J. Wild
Autore Seber G. A. F (George Arthur Frederick), <1938->
Pubbl/distr/stampa New York, : Wiley, 2004
Descrizione fisica 1 online resource (799 pages) : illustrations
Disciplina 519.5/36
519.536
Altri autori (Persone) WildC. J <1952-> (Christopher John)
Collana Wiley series in probability and mathematical statistics
Soggetto topico Regression analysis
Linear models (Statistics)
Parameter estimation
Nonlinear theories
ISBN 9786610253029
0-471-72531-5
1-280-25302-9
0-471-72530-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910146264003321
Seber G. A. F (George Arthur Frederick), <1938->  
New York, : Wiley, 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
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