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.
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New York : Schaum Publishing Co., c1964 | ||
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Lo trovi qui: Univ. del Salento | ||
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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
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Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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||
Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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
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Chichester, England ; ; Hoboken, NJ, : John Wiley, c2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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||
Berlin ; ; Boston, : De Gruyter, 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Berlin ; ; Boston, : De Gruyter, 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Cambridge : , : Cambridge University Press, , 2011 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Cambridge : , : Cambridge University Press, , 2011 | ||
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Lo trovi qui: Univ. Federico II | ||
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Variabili complesse : 640 esercizi risolti / Murray R. Spiegel |
Autore | Spiegel, Murray R. |
Pubbl/distr/stampa | Milano : Etas Libri, 1975 |
Descrizione fisica | 319 p. ; 27 cm |
Disciplina | 515.9 |
Collana | Collana Schaum ; 15 |
Soggetto topico | Variables (Mathematics) |
Classificazione |
510(022:076)
LC QA331.7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISALENTO-991001321919707536 |
Spiegel, Murray R.
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Milano : Etas Libri, 1975 | ||
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Lo trovi qui: Univ. del Salento | ||
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Variations on constants : flow analysis of sequential and parallel programs / / Markus Muller-Olm |
Autore | Muller-Olm Markus |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin ; ; New York, : Springer, 2006 |
Descrizione fisica | 1 online resource (XIII, 177 p.) |
Disciplina | 004.21 |
Collana |
Lecture notes in computer science
LNCS sublibrary. SL 2, Programming and software engineering |
Soggetto topico |
Parallel programming (Computer science)
Sequential processing (Computer science) Mathematical constants Variables (Mathematics) Computer programs - Correctness |
ISBN | 3-540-45386-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Introduction -- 2. A Hierarchy of Constants -- 3. Deciding Constants by Effective Weakest Preconditions -- 4. Limits of Parallel Flow Analysis -- 5. Parallel Flow Graphs -- 6. Non-atomic Execution -- 7. Dependence Traces -- 8. Detecting Copy Constants and Eliminating Faint Code -- 9. Complexity in the Non-atomic Scenario -- 10. Conclusion -- A. A Primer on Constraint-Based Program Analysis. |
Record Nr. | UNINA-9910768173503321 |
Muller-Olm Markus
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Berlin ; ; New York, : Springer, 2006 | ||
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Lo trovi qui: Univ. Federico II | ||
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