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Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Autore Pesarin Fortunato
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2010
Descrizione fisica 1 online resource (450 p.)
Disciplina 519.5
519.5/6
Altri autori (Persone) SalmasoLuigi
Collana Wiley series in probability and statistics
Soggetto topico Statistical hypothesis testing
Permutations
Multivariate analysis
ISBN 1-282-55043-8
9786612550430
0-470-68951-X
0-470-68952-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Permutation Tests for Complex Data; Contents; Preface; Notation and Abbreviations; 1 Introduction; 1.1 On Permutation Analysis; 1.2 The Permutation Testing Principle; 1.2.1 Nonparametric Family of Distributions; 1.2.2 The Permutation Testing Principle; 1.3 Permutation Approaches; 1.4 When and Why Conditioning is Appropriate; 1.5 Randomization and Permutation; 1.6 Computational Aspects; 1.7 Basic Notation; 1.8 A Problem with Paired Observations; 1.8.1 Modelling Responses; 1.8.2 Symmetry Induced by Exchangeability; 1.8.3 Further Aspects; 1.8.4 The Student's t-Paired Solution
1.8.5 The Signed Rank Test Solution1.8.6 The McNemar Solution; 1.9 The Permutation Solution; 1.9.1 General Aspects; 1.9.2 The Permutation Sample Space; 1.9.3 The Conditional Monte Carlo Method; 1.9.4 Approximating the Permutation Distribution; 1.9.5 Problems and Exercises; 1.10 A Two-Sample Problem; 1.10.1 Modelling Responses; 1.10.2 The Student t Solution; 1.10.3 The Permutation Solution; 1.10.4 Rank Solutions; 1.10.5 Problems and Exercises; 1.11 One-Way ANOVA; 1.11.1 Modelling Responses; 1.11.2 Permutation Solutions; 1.11.3 Problems and Exercises
2 Theory of One-Dimensional Permutation Tests2.1 Introduction; 2.1.1 Notation and Basic Assumptions; 2.1.2 The Conditional Reference Space; 2.1.3 Conditioning on a Set of Sufficient Statistics; 2.2 Definition of Permutation Tests; 2.2.1 General Aspects; 2.2.2 Randomized Permutation Tests; 2.2.3 Non-randomized Permutation Tests; 2.2.4 The p-Value; 2.2.5 A CMC Algorithm for Estimating the p-Value; 2.3 Some Useful Test Statistics; 2.4 Equivalence of Permutation Statistics; 2.4.1 Some Examples; 2.4.2 Problems and Exercises; 2.5 Arguments for Selecting Permutation Tests
2.6 Examples of One-Sample Problems2.6.1 A Problem with Repeated Observations; 2.6.2 Problems and Exercises; 2.7 Examples of Multi-Sample Problems; 2.8 Analysis of Ordered Categorical Variables; 2.8.1 General Aspects; 2.8.2 A Solution Based on Score Transformations; 2.8.3 Typical Goodness-of-Fit Solutions; 2.8.4 Extension to Non-Dominance Alternatives and C Groups; 2.9 Problems and Exercises; 3 Further Properties of Permutation Tests; 3.1 Unbiasedness of Two-sample Tests; 3.1.1 One-Sided Alternatives; 3.1.2 Two-Sided Alternatives; 3.2 Power Functions of Permutation Tests
3.2.1 Definition and Algorithm for the Conditional Power3.2.2 The Empirical Conditional ROC Curve; 3.2.3 Definition and Algorithm for the Unconditional Power: Fixed Effects; 3.2.4 Unconditional Power: Random Effects; 3.2.5 Comments on Power Functions; 3.3 Consistency of Permutation Tests; 3.4 Permutation Confidence Interval for d; 3.4.1 Problems and Exercises; 3.5 Extending Inference from Conditional to Unconditional; 3.6 Optimal Properties; 3.6.1 Problems and Exercises; 3.7 Some Asymptotic Properties; 3.7.1 Introduction; 3.7.2 Two Basic Theorems; 3.8 Permutation Central Limit Theorems
3.8.1 Basic Notions
Record Nr. UNINA-9910139366203321
Pesarin Fortunato  
Hoboken, N.J., : Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Autore Pesarin Fortunato
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2010
Descrizione fisica 1 online resource (450 p.)
Disciplina 519.5
519.5/6
Altri autori (Persone) SalmasoLuigi
Collana Wiley series in probability and statistics
Soggetto topico Statistical hypothesis testing
Permutations
Multivariate analysis
ISBN 1-282-55043-8
9786612550430
0-470-68951-X
0-470-68952-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Permutation Tests for Complex Data; Contents; Preface; Notation and Abbreviations; 1 Introduction; 1.1 On Permutation Analysis; 1.2 The Permutation Testing Principle; 1.2.1 Nonparametric Family of Distributions; 1.2.2 The Permutation Testing Principle; 1.3 Permutation Approaches; 1.4 When and Why Conditioning is Appropriate; 1.5 Randomization and Permutation; 1.6 Computational Aspects; 1.7 Basic Notation; 1.8 A Problem with Paired Observations; 1.8.1 Modelling Responses; 1.8.2 Symmetry Induced by Exchangeability; 1.8.3 Further Aspects; 1.8.4 The Student's t-Paired Solution
1.8.5 The Signed Rank Test Solution1.8.6 The McNemar Solution; 1.9 The Permutation Solution; 1.9.1 General Aspects; 1.9.2 The Permutation Sample Space; 1.9.3 The Conditional Monte Carlo Method; 1.9.4 Approximating the Permutation Distribution; 1.9.5 Problems and Exercises; 1.10 A Two-Sample Problem; 1.10.1 Modelling Responses; 1.10.2 The Student t Solution; 1.10.3 The Permutation Solution; 1.10.4 Rank Solutions; 1.10.5 Problems and Exercises; 1.11 One-Way ANOVA; 1.11.1 Modelling Responses; 1.11.2 Permutation Solutions; 1.11.3 Problems and Exercises
2 Theory of One-Dimensional Permutation Tests2.1 Introduction; 2.1.1 Notation and Basic Assumptions; 2.1.2 The Conditional Reference Space; 2.1.3 Conditioning on a Set of Sufficient Statistics; 2.2 Definition of Permutation Tests; 2.2.1 General Aspects; 2.2.2 Randomized Permutation Tests; 2.2.3 Non-randomized Permutation Tests; 2.2.4 The p-Value; 2.2.5 A CMC Algorithm for Estimating the p-Value; 2.3 Some Useful Test Statistics; 2.4 Equivalence of Permutation Statistics; 2.4.1 Some Examples; 2.4.2 Problems and Exercises; 2.5 Arguments for Selecting Permutation Tests
2.6 Examples of One-Sample Problems2.6.1 A Problem with Repeated Observations; 2.6.2 Problems and Exercises; 2.7 Examples of Multi-Sample Problems; 2.8 Analysis of Ordered Categorical Variables; 2.8.1 General Aspects; 2.8.2 A Solution Based on Score Transformations; 2.8.3 Typical Goodness-of-Fit Solutions; 2.8.4 Extension to Non-Dominance Alternatives and C Groups; 2.9 Problems and Exercises; 3 Further Properties of Permutation Tests; 3.1 Unbiasedness of Two-sample Tests; 3.1.1 One-Sided Alternatives; 3.1.2 Two-Sided Alternatives; 3.2 Power Functions of Permutation Tests
3.2.1 Definition and Algorithm for the Conditional Power3.2.2 The Empirical Conditional ROC Curve; 3.2.3 Definition and Algorithm for the Unconditional Power: Fixed Effects; 3.2.4 Unconditional Power: Random Effects; 3.2.5 Comments on Power Functions; 3.3 Consistency of Permutation Tests; 3.4 Permutation Confidence Interval for d; 3.4.1 Problems and Exercises; 3.5 Extending Inference from Conditional to Unconditional; 3.6 Optimal Properties; 3.6.1 Problems and Exercises; 3.7 Some Asymptotic Properties; 3.7.1 Introduction; 3.7.2 Two Basic Theorems; 3.8 Permutation Central Limit Theorems
3.8.1 Basic Notions
Record Nr. UNINA-9910826910103321
Pesarin Fortunato  
Hoboken, N.J., : Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Single-case and small-n experimental designs : a practical guide to randomization tests / / Pat Dugard, Portia File, Jonathan Todman
Single-case and small-n experimental designs : a practical guide to randomization tests / / Pat Dugard, Portia File, Jonathan Todman
Autore Dugard Pat.
Edizione [2nd ed.]
Pubbl/distr/stampa New York, N.Y. : , : Routledge Academic, , 2012
Descrizione fisica 1 online resource (xiii, 290 p. ) : ill
Disciplina 519.5/6
Altri autori (Persone) FilePortia
TodmanJohn B
Soggetto topico Statistical hypothesis testing
Experimental design
Soggetto genere / forma Electronic books.
ISBN 1-280-66170-4
9786613638632
0-203-18093-3
1-136-58848-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. 1. Single-case and Small- n Designs in Context. 2. Understanding Randomization Tests. 3. Obtaining the Data: Choosing the Design. 4. Obtaining the Data: Implementing the Design. 5. Analyzing the Data: Using the Macros. 6. Analyzing the Data: Wider Considerations. 7. Size and Power. 8. Going Further. Appendixes: 1. Basic Skills for Randomization Tests. 2. SPSS Macros. 3. Excel Macros.
Record Nr. UNINA-9910452345503321
Dugard Pat.  
New York, N.Y. : , : Routledge Academic, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Single-case and small-n experimental designs : a practical guide to randomization tests / / Pat Dugard, Portia File, Jonathan Todman
Single-case and small-n experimental designs : a practical guide to randomization tests / / Pat Dugard, Portia File, Jonathan Todman
Autore Dugard Pat.
Edizione [2nd ed.]
Pubbl/distr/stampa New York, N.Y. : , : Routledge Academic, , 2012
Descrizione fisica 1 online resource (xiii, 290 p. ) : ill
Disciplina 519.5/6
Altri autori (Persone) FilePortia
TodmanJohn B
Soggetto topico Statistical hypothesis testing
Experimental design
ISBN 1-136-58847-7
1-280-66170-4
9786613638632
0-203-18093-3
1-136-58848-5
Classificazione PSY030000EDU012000MED058200
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. 1. Single-case and Small- n Designs in Context. 2. Understanding Randomization Tests. 3. Obtaining the Data: Choosing the Design. 4. Obtaining the Data: Implementing the Design. 5. Analyzing the Data: Using the Macros. 6. Analyzing the Data: Wider Considerations. 7. Size and Power. 8. Going Further. Appendixes: 1. Basic Skills for Randomization Tests. 2. SPSS Macros. 3. Excel Macros.
Record Nr. UNINA-9910779016003321
Dugard Pat.  
New York, N.Y. : , : Routledge Academic, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Single-case and small-n experimental designs : a practical guide to randomization tests / / Pat Dugard, Portia File, Jonathan Todman
Single-case and small-n experimental designs : a practical guide to randomization tests / / Pat Dugard, Portia File, Jonathan Todman
Autore Dugard Pat.
Edizione [2nd ed.]
Pubbl/distr/stampa New York, N.Y. : , : Routledge Academic, , 2012
Descrizione fisica 1 online resource (xiii, 290 p. ) : ill
Disciplina 519.5/6
Altri autori (Persone) FilePortia
TodmanJohn B
Soggetto topico Statistical hypothesis testing
Experimental design
ISBN 1-136-58847-7
1-280-66170-4
9786613638632
0-203-18093-3
1-136-58848-5
Classificazione PSY030000EDU012000MED058200
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. 1. Single-case and Small- n Designs in Context. 2. Understanding Randomization Tests. 3. Obtaining the Data: Choosing the Design. 4. Obtaining the Data: Implementing the Design. 5. Analyzing the Data: Using the Macros. 6. Analyzing the Data: Wider Considerations. 7. Size and Power. 8. Going Further. Appendixes: 1. Basic Skills for Randomization Tests. 2. SPSS Macros. 3. Excel Macros.
Record Nr. UNINA-9910817028903321
Dugard Pat.  
New York, N.Y. : , : Routledge Academic, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smooth tests of goodness of fit [[electronic resource] /] / J.C.W. Rayner, O. Thas, D.J. Best
Smooth tests of goodness of fit [[electronic resource] /] / J.C.W. Rayner, O. Thas, D.J. Best
Autore Rayner J. C. W
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2009
Descrizione fisica 1 online resource (300 p.)
Disciplina 519.5/6
519.56
Altri autori (Persone) BestD. J
ThasO (Olivier)
Collana Wiley series in probability and statistics Smooth tests of goodness of fit using R
Soggetto topico Goodness-of-fit tests
Statistical hypothesis testing
Soggetto genere / forma Electronic books.
ISBN 1-282-38215-2
9786612382154
0-470-82444-1
0-470-82443-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto SMOOTH TESTS OF GOODNESS OF FIT USING R; Contents; Preface; 1 Introduction; 1.1 The Problem Defined; 1.2 A Brief History of Smooth Tests; 1.3 Monograph Outline; 1.4 Examples; 2 Pearson's X2 Test; 2.1 Introduction; 2.2 Foundations; 2.3 The Pearson X2 Test - an Update; 2.3.1 Notation, Definition of the Test, and Class Construction; 2.3.2 Power Related Properties; 2.3.3 The Sample Space Partition Approach; 2.4 X2 Tests of Composite Hypotheses; 2.5 Examples; 3 Asymptotically Optimal Tests; 3.1 Introduction; 3.2 The Likelihood Ratio, Wald, and Score Tests for a Simple Null Hypothesis
3.3 The Likelihood Ratio, Wald and Score Tests for Composite Null Hypotheses3.4 Generalized Score Tests; 4 Neyman Smooth Tests for Simple Null Hypotheses; 4.1 Neyman's Ψ2 test; 4.2 Neyman Smooth Tests for Uncategorized Simple Null Hypotheses; 4.3 The Choice of Order; 4.4 Examples; 4.5 EDF Tests; 5 Categorized Simple Null Hypotheses; 5.1 Smooth Tests for Completely Specified Multinomials; 5.2 X2 Effective Order; 5.3 Components of X2P; 5.3.1 Construction of the Components; 5.3.2 Power Study; 5.3.3 Diagnostic Tests; 5.3.4 Cressie and Read Tests; 5.4 Examples; 5.5 Class Construction
5.5.1 The Alternatives5.5.2 Results of the Simulation Study; 5.5.3 Discussion; 5.6 A More Comprehensive Class of Tests; 5.7 Overlapping Cells Tests; 6 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses; 6.1 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses; 6.2 Smooth Tests for the Univariate Normal Distribution; 6.2.1 The Construction of the Smooth Test; 6.2.2 Simulation Study; 6.2.3 Examples; 6.2.4 Relationship with a Test of Thomas and Pierce; 6.3 Smooth Tests for the Exponential Distribution; 6.4 Smooth Tests for Multivariate Normal Distribution
6.5 Smooth Tests for the Bivariate Poisson Distribution6.5.1 Definitions; 6.5.2 Score Tests for the Bivariate Poisson Model; 6.5.3 A Smooth Covariance Test; 6.5.4 Variance Tests; 6.5.5 A Competitor for the Index of Dispersion Test; 6.5.6 Revised Index of Dispersion and Crockett Tests; 6.6 Components of the Rao-Robson X2 Statistic; 7 Neyman Smooth Tests for Categorized Composite Null Hypotheses; 7.1 Neyman Smooth Tests for Composite Multinomials; 7.2 Components of the Pearson-Fisher Statistic; 7.3 Composite Overlapping Cells and Cell Focusing X2 Tests
7.4 A Comparison between the Pearson-Fisher and Rao-Robson X2 Tests8 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses: Discrete Distributions; 8.1 Neyman Smooth Tests for Discrete Uncategorized Composite Null Hypotheses; 8.2 Smooth and EDF Tests for the Univariate Poisson Distribution; 8.2.1 Definitions; 8.2.2 Size and Power Study; 8.2.3 Examples; 8.3 Smooth and EDF Tests for the Binomial Distribution; 8.3.1 Definitions; 8.3.2 Size and Power Study; 8.3.3 Examples; 8.4 Smooth Tests for the Geometric Distribution; 8.4.1 Definitions; 8.4.2 Size and Power Study; 8.4.3 Examples
9 Construction of Generalized Smooth Tests: Theoretical Contributions
Record Nr. UNINA-9910139929603321
Rayner J. C. W  
Hoboken, NJ, : Wiley, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smooth tests of goodness of fit [[electronic resource] /] / J.C.W. Rayner, O. Thas, D.J. Best
Smooth tests of goodness of fit [[electronic resource] /] / J.C.W. Rayner, O. Thas, D.J. Best
Autore Rayner J. C. W
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2009
Descrizione fisica 1 online resource (300 p.)
Disciplina 519.5/6
519.56
Altri autori (Persone) BestD. J
ThasO (Olivier)
Collana Wiley series in probability and statistics Smooth tests of goodness of fit using R
Soggetto topico Goodness-of-fit tests
Statistical hypothesis testing
ISBN 1-282-38215-2
9786612382154
0-470-82444-1
0-470-82443-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto SMOOTH TESTS OF GOODNESS OF FIT USING R; Contents; Preface; 1 Introduction; 1.1 The Problem Defined; 1.2 A Brief History of Smooth Tests; 1.3 Monograph Outline; 1.4 Examples; 2 Pearson's X2 Test; 2.1 Introduction; 2.2 Foundations; 2.3 The Pearson X2 Test - an Update; 2.3.1 Notation, Definition of the Test, and Class Construction; 2.3.2 Power Related Properties; 2.3.3 The Sample Space Partition Approach; 2.4 X2 Tests of Composite Hypotheses; 2.5 Examples; 3 Asymptotically Optimal Tests; 3.1 Introduction; 3.2 The Likelihood Ratio, Wald, and Score Tests for a Simple Null Hypothesis
3.3 The Likelihood Ratio, Wald and Score Tests for Composite Null Hypotheses3.4 Generalized Score Tests; 4 Neyman Smooth Tests for Simple Null Hypotheses; 4.1 Neyman's Ψ2 test; 4.2 Neyman Smooth Tests for Uncategorized Simple Null Hypotheses; 4.3 The Choice of Order; 4.4 Examples; 4.5 EDF Tests; 5 Categorized Simple Null Hypotheses; 5.1 Smooth Tests for Completely Specified Multinomials; 5.2 X2 Effective Order; 5.3 Components of X2P; 5.3.1 Construction of the Components; 5.3.2 Power Study; 5.3.3 Diagnostic Tests; 5.3.4 Cressie and Read Tests; 5.4 Examples; 5.5 Class Construction
5.5.1 The Alternatives5.5.2 Results of the Simulation Study; 5.5.3 Discussion; 5.6 A More Comprehensive Class of Tests; 5.7 Overlapping Cells Tests; 6 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses; 6.1 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses; 6.2 Smooth Tests for the Univariate Normal Distribution; 6.2.1 The Construction of the Smooth Test; 6.2.2 Simulation Study; 6.2.3 Examples; 6.2.4 Relationship with a Test of Thomas and Pierce; 6.3 Smooth Tests for the Exponential Distribution; 6.4 Smooth Tests for Multivariate Normal Distribution
6.5 Smooth Tests for the Bivariate Poisson Distribution6.5.1 Definitions; 6.5.2 Score Tests for the Bivariate Poisson Model; 6.5.3 A Smooth Covariance Test; 6.5.4 Variance Tests; 6.5.5 A Competitor for the Index of Dispersion Test; 6.5.6 Revised Index of Dispersion and Crockett Tests; 6.6 Components of the Rao-Robson X2 Statistic; 7 Neyman Smooth Tests for Categorized Composite Null Hypotheses; 7.1 Neyman Smooth Tests for Composite Multinomials; 7.2 Components of the Pearson-Fisher Statistic; 7.3 Composite Overlapping Cells and Cell Focusing X2 Tests
7.4 A Comparison between the Pearson-Fisher and Rao-Robson X2 Tests8 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses: Discrete Distributions; 8.1 Neyman Smooth Tests for Discrete Uncategorized Composite Null Hypotheses; 8.2 Smooth and EDF Tests for the Univariate Poisson Distribution; 8.2.1 Definitions; 8.2.2 Size and Power Study; 8.2.3 Examples; 8.3 Smooth and EDF Tests for the Binomial Distribution; 8.3.1 Definitions; 8.3.2 Size and Power Study; 8.3.3 Examples; 8.4 Smooth Tests for the Geometric Distribution; 8.4.1 Definitions; 8.4.2 Size and Power Study; 8.4.3 Examples
9 Construction of Generalized Smooth Tests: Theoretical Contributions
Record Nr. UNINA-9910829914803321
Rayner J. C. W  
Hoboken, NJ, : Wiley, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smooth tests of goodness of fit [[electronic resource] /] / J.C.W. Rayner, O. Thas, D.J. Best
Smooth tests of goodness of fit [[electronic resource] /] / J.C.W. Rayner, O. Thas, D.J. Best
Autore Rayner J. C. W
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2009
Descrizione fisica 1 online resource (300 p.)
Disciplina 519.5/6
519.56
Altri autori (Persone) BestD. J
ThasO (Olivier)
Collana Wiley series in probability and statistics Smooth tests of goodness of fit using R
Soggetto topico Goodness-of-fit tests
Statistical hypothesis testing
ISBN 1-282-38215-2
9786612382154
0-470-82444-1
0-470-82443-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto SMOOTH TESTS OF GOODNESS OF FIT USING R; Contents; Preface; 1 Introduction; 1.1 The Problem Defined; 1.2 A Brief History of Smooth Tests; 1.3 Monograph Outline; 1.4 Examples; 2 Pearson's X2 Test; 2.1 Introduction; 2.2 Foundations; 2.3 The Pearson X2 Test - an Update; 2.3.1 Notation, Definition of the Test, and Class Construction; 2.3.2 Power Related Properties; 2.3.3 The Sample Space Partition Approach; 2.4 X2 Tests of Composite Hypotheses; 2.5 Examples; 3 Asymptotically Optimal Tests; 3.1 Introduction; 3.2 The Likelihood Ratio, Wald, and Score Tests for a Simple Null Hypothesis
3.3 The Likelihood Ratio, Wald and Score Tests for Composite Null Hypotheses3.4 Generalized Score Tests; 4 Neyman Smooth Tests for Simple Null Hypotheses; 4.1 Neyman's Ψ2 test; 4.2 Neyman Smooth Tests for Uncategorized Simple Null Hypotheses; 4.3 The Choice of Order; 4.4 Examples; 4.5 EDF Tests; 5 Categorized Simple Null Hypotheses; 5.1 Smooth Tests for Completely Specified Multinomials; 5.2 X2 Effective Order; 5.3 Components of X2P; 5.3.1 Construction of the Components; 5.3.2 Power Study; 5.3.3 Diagnostic Tests; 5.3.4 Cressie and Read Tests; 5.4 Examples; 5.5 Class Construction
5.5.1 The Alternatives5.5.2 Results of the Simulation Study; 5.5.3 Discussion; 5.6 A More Comprehensive Class of Tests; 5.7 Overlapping Cells Tests; 6 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses; 6.1 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses; 6.2 Smooth Tests for the Univariate Normal Distribution; 6.2.1 The Construction of the Smooth Test; 6.2.2 Simulation Study; 6.2.3 Examples; 6.2.4 Relationship with a Test of Thomas and Pierce; 6.3 Smooth Tests for the Exponential Distribution; 6.4 Smooth Tests for Multivariate Normal Distribution
6.5 Smooth Tests for the Bivariate Poisson Distribution6.5.1 Definitions; 6.5.2 Score Tests for the Bivariate Poisson Model; 6.5.3 A Smooth Covariance Test; 6.5.4 Variance Tests; 6.5.5 A Competitor for the Index of Dispersion Test; 6.5.6 Revised Index of Dispersion and Crockett Tests; 6.6 Components of the Rao-Robson X2 Statistic; 7 Neyman Smooth Tests for Categorized Composite Null Hypotheses; 7.1 Neyman Smooth Tests for Composite Multinomials; 7.2 Components of the Pearson-Fisher Statistic; 7.3 Composite Overlapping Cells and Cell Focusing X2 Tests
7.4 A Comparison between the Pearson-Fisher and Rao-Robson X2 Tests8 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses: Discrete Distributions; 8.1 Neyman Smooth Tests for Discrete Uncategorized Composite Null Hypotheses; 8.2 Smooth and EDF Tests for the Univariate Poisson Distribution; 8.2.1 Definitions; 8.2.2 Size and Power Study; 8.2.3 Examples; 8.3 Smooth and EDF Tests for the Binomial Distribution; 8.3.1 Definitions; 8.3.2 Size and Power Study; 8.3.3 Examples; 8.4 Smooth Tests for the Geometric Distribution; 8.4.1 Definitions; 8.4.2 Size and Power Study; 8.4.3 Examples
9 Construction of Generalized Smooth Tests: Theoretical Contributions
Record Nr. UNINA-9910841510603321
Rayner J. C. W  
Hoboken, NJ, : Wiley, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical meta-analysis with applications [[electronic resource] /] / Joachim Hartung, Guido Knapp, Bimal K. Sinha
Statistical meta-analysis with applications [[electronic resource] /] / Joachim Hartung, Guido Knapp, Bimal K. Sinha
Autore Hartung Joachim, Prof. Dr.
Pubbl/distr/stampa Hoboken, NJ, : Wiley, 2008
Descrizione fisica 1 online resource (274 p.)
Disciplina 519.5
519.5/6
Altri autori (Persone) KnappGuido
SinhaBimal K. <1946->
Collana Wiley Series in Probability and Statistics
Soggetto topico Statistical hypothesis testing
Meta-analysis
ISBN 1-118-21096-4
1-281-78801-5
9786611788018
0-470-38634-7
0-470-38633-9
Classificazione QH 235
SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Meta-Analysis With Applications; CONTENTS; Preface; 1 Introduction; 2 Various Measures of Effect Size; 3 Combining Independent Tests; 4 Methods of Combining Effect Sizes; 5 Inference about a Common Mean of Several Univariate Normal Populations; 6 Tests of Homogeneity in Meta-Analysis; 7 One-way Random Effects Model; 8 Combining Controlled Trials with Normal Outcomes; 9 Combining Controlled Trials with Discrete Outcomes; 10 Meta-Regression; 11 Multivariate Meta-Analysis; 12 Bayesian Meta-Analysis; 13 Publication Bias; 14 Recovery of lnterblock Information; 15 Combination of Polls
16 Vote Counting Procedures17 Computational Aspects; 18 Data Sets; References; Index
Record Nr. UNINA-9910143986503321
Hartung Joachim, Prof. Dr.  
Hoboken, NJ, : Wiley, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical meta-analysis with applications [[electronic resource] /] / Joachim Hartung, Guido Knapp, Bimal K. Sinha
Statistical meta-analysis with applications [[electronic resource] /] / Joachim Hartung, Guido Knapp, Bimal K. Sinha
Autore Hartung Joachim, Prof. Dr.
Pubbl/distr/stampa Hoboken, NJ, : Wiley, 2008
Descrizione fisica 1 online resource (274 p.)
Disciplina 519.5
519.5/6
Altri autori (Persone) KnappGuido
SinhaBimal K. <1946->
Collana Wiley Series in Probability and Statistics
Soggetto topico Statistical hypothesis testing
Meta-analysis
ISBN 1-118-21096-4
1-281-78801-5
9786611788018
0-470-38634-7
0-470-38633-9
Classificazione QH 235
SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Meta-Analysis With Applications; CONTENTS; Preface; 1 Introduction; 2 Various Measures of Effect Size; 3 Combining Independent Tests; 4 Methods of Combining Effect Sizes; 5 Inference about a Common Mean of Several Univariate Normal Populations; 6 Tests of Homogeneity in Meta-Analysis; 7 One-way Random Effects Model; 8 Combining Controlled Trials with Normal Outcomes; 9 Combining Controlled Trials with Discrete Outcomes; 10 Meta-Regression; 11 Multivariate Meta-Analysis; 12 Bayesian Meta-Analysis; 13 Publication Bias; 14 Recovery of lnterblock Information; 15 Combination of Polls
16 Vote Counting Procedures17 Computational Aspects; 18 Data Sets; References; Index
Record Nr. UNINA-9910830603703321
Hartung Joachim, Prof. Dr.  
Hoboken, NJ, : Wiley, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
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