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Complex variables : including 640 solved problems / Murray R. Spiegel
Complex variables : including 640 solved problems / Murray R. Spiegel
Autore Spiegel, Murray R.
Pubbl/distr/stampa New York : Schaum Publishing Co., c1964
Descrizione fisica 313 p. ; 27 cm.
Collana Schaum's outline series
Soggetto topico Variables (Mathematics)
Classificazione 510(022)
510(076)
510.30
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000861229707536
Spiegel, Murray R.  
New York : Schaum Publishing Co., c1964
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 : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables / / Patrick Royston, Willi Sauerbrei
Multivariable model-building : 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 519.5/36
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-9910877448303321
Royston Patrick  
Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate characteristic and correlation functions [[electronic resource] /] / Zoltán Sasvári
Multivariate characteristic and correlation functions [[electronic resource] /] / Zoltán Sasvári
Autore Sasvári Zoltán
Pubbl/distr/stampa Berlin ; ; Boston, : De Gruyter, 2013
Descrizione fisica 1 online resource (376 p.)
Disciplina 519.2/32
Collana De Gruyter Studies in Mathematics
Soggetto topico Characteristic functions
Correlation (Statistics)
Variables (Mathematics)
Multivariate analysis
Soggetto genere / forma Electronic books.
ISBN 3-11-022399-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Preface -- Contents -- Chapter 1. Characteristic functions -- Chapter 2. Correlation functions -- Chapter 3. Special properties -- Chapter 4. The extension problem -- Chapter 5. Selected applications -- Appendix A. Basic notation -- Appendix B. Basic analysis -- Appendix C. Advanced analysis -- Appendix D. Functional analysis -- Appendix E. Measure theory -- Appendix F. Probability -- Bibliography -- Index
Record Nr. UNINA-9910464288303321
Sasvári Zoltán  
Berlin ; ; Boston, : De Gruyter, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate characteristic and correlation functions [[electronic resource] /] / Zoltán Sasvári
Multivariate characteristic and correlation functions [[electronic resource] /] / Zoltán Sasvári
Autore Sasvári Zoltán
Pubbl/distr/stampa Berlin ; ; Boston, : De Gruyter, 2013
Descrizione fisica 1 online resource (376 p.)
Disciplina 519.2/32
Collana De Gruyter Studies in Mathematics
Soggetto topico Characteristic functions
Correlation (Statistics)
Variables (Mathematics)
Multivariate analysis
Soggetto non controllato Characteristic Functions
Fourier Transform
Moment Problem
Probability Distribution
ISBN 3-11-022399-6
Classificazione SK 800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Preface -- Contents -- Chapter 1. Characteristic functions -- Chapter 2. Correlation functions -- Chapter 3. Special properties -- Chapter 4. The extension problem -- Chapter 5. Selected applications -- Appendix A. Basic notation -- Appendix B. Basic analysis -- Appendix C. Advanced analysis -- Appendix D. Functional analysis -- Appendix E. Measure theory -- Appendix F. Probability -- Bibliography -- Index
Record Nr. UNINA-9910789087603321
Sasvári Zoltán  
Berlin ; ; Boston, : De Gruyter, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate characteristic and correlation functions / / Zoltán Sasvári
Multivariate characteristic and correlation functions / / Zoltán Sasvári
Autore Sasvári Zoltán
Edizione [1st ed.]
Pubbl/distr/stampa Berlin ; ; Boston, : De Gruyter, 2013
Descrizione fisica 1 online resource (376 p.)
Disciplina 519.2/32
Collana De Gruyter Studies in Mathematics
Soggetto topico Characteristic functions
Correlation (Statistics)
Variables (Mathematics)
Multivariate analysis
Soggetto non controllato Characteristic Functions
Fourier Transform
Moment Problem
Probability Distribution
ISBN 3-11-022399-6
Classificazione SK 800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Preface -- Contents -- Chapter 1. Characteristic functions -- Chapter 2. Correlation functions -- Chapter 3. Special properties -- Chapter 4. The extension problem -- Chapter 5. Selected applications -- Appendix A. Basic notation -- Appendix B. Basic analysis -- Appendix C. Advanced analysis -- Appendix D. Functional analysis -- Appendix E. Measure theory -- Appendix F. Probability -- Bibliography -- Index
Record Nr. UNINA-9910824787203321
Sasvári Zoltán  
Berlin ; ; Boston, : De Gruyter, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantifiers, propositions and identity : admissible semantics for quantified modal and substructural logics / / Robert Goldblatt [[electronic resource]]
Quantifiers, propositions and identity : admissible semantics for quantified modal and substructural logics / / Robert Goldblatt [[electronic resource]]
Autore Goldblatt Robert
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2011
Descrizione fisica 1 online resource (xiii, 268 pages) : digital, PDF file(s)
Disciplina 511.3
Collana Lecture notes in logic
Soggetto topico Modality (Logic)
Variables (Mathematics)
Semantics (Philosophy)
Logic, Symbolic and mathematical
ISBN 1-139-09842-X
1-139-09910-8
1-139-10178-1
1-139-09978-7
0-511-86235-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction and overview -- Chapter 1. Logics with actualist quantifiers -- Chapter 2. The Barcan formulas -- Chapter 3. The existence predicate -- Chapter 4. Propositional functions and predicate substitution -- Chapter 5. Identity -- Chapter 6. Cover semantics for relevant logic.
Altri titoli varianti Quantifiers, Propositions & Identity
Record Nr. UNINA-9910457518803321
Goldblatt Robert  
Cambridge : , : Cambridge University Press, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantifiers, propositions and identity : admissible semantics for quantified modal and substructural logics / / Robert Goldblatt [[electronic resource]]
Quantifiers, propositions and identity : admissible semantics for quantified modal and substructural logics / / Robert Goldblatt [[electronic resource]]
Autore Goldblatt Robert
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2011
Descrizione fisica 1 online resource (xiii, 268 pages) : digital, PDF file(s)
Disciplina 511.3
Collana Lecture notes in logic
Soggetto topico Modality (Logic)
Variables (Mathematics)
Semantics (Philosophy)
Logic, Symbolic and mathematical
ISBN 1-139-09842-X
1-139-09910-8
1-139-10178-1
1-139-09978-7
0-511-86235-0
Classificazione MAT018000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction and overview -- Chapter 1. Logics with actualist quantifiers -- Chapter 2. The Barcan formulas -- Chapter 3. The existence predicate -- Chapter 4. Propositional functions and predicate substitution -- Chapter 5. Identity -- Chapter 6. Cover semantics for relevant logic.
Altri titoli varianti Quantifiers, Propositions & Identity
Record Nr. UNINA-9910781962203321
Goldblatt Robert  
Cambridge : , : Cambridge University Press, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantifiers, propositions and identity : admissible semantics for quantified modal and substructural logics / / Robert Goldblatt
Quantifiers, propositions and identity : admissible semantics for quantified modal and substructural logics / / Robert Goldblatt
Autore Goldblatt Robert
Edizione [1st ed.]
Pubbl/distr/stampa Cambridge ; ; New York, : Cambridge University Press, 2011
Descrizione fisica 1 online resource (xiii, 268 pages) : digital, PDF file(s)
Disciplina 511.3
Collana Lecture notes in logic
Soggetto topico Modality (Logic)
Variables (Mathematics)
Semantics (Philosophy)
Logic, Symbolic and mathematical
ISBN 1-139-09842-X
1-139-09910-8
1-139-10178-1
1-139-09978-7
0-511-86235-0
Classificazione MAT018000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction and overview -- Chapter 1. Logics with actualist quantifiers -- Chapter 2. The Barcan formulas -- Chapter 3. The existence predicate -- Chapter 4. Propositional functions and predicate substitution -- Chapter 5. Identity -- Chapter 6. Cover semantics for relevant logic.
Record Nr. UNINA-9910827951403321
Goldblatt Robert  
Cambridge ; ; New York, : Cambridge University Press, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui