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.
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New York, N.Y. : , : Routledge Academic, , 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Hoboken, NJ, : Wiley, c2009 | ||
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Lo trovi qui: Univ. Federico II | ||
|
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
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||
Hoboken, NJ, : Wiley, c2009 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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
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Hoboken, NJ, : Wiley, c2009 | ||
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Lo trovi qui: Univ. Federico II | ||
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Statistical hypothesis testing with SAS and R / / Dirk Taeger, Sonja Kuhnt |
Autore | Taeger Dirk |
Pubbl/distr/stampa | [Hoboken, New Jersey] : , : John Wiley & Sons, Incorporation, , 2014 |
Descrizione fisica | 1 online resource (308 p.) |
Disciplina | 519.50285/5133 |
Soggetto topico |
Statistical hypothesis testing
SAS (Computer program language) R (Computer program language) |
ISBN |
1-118-76258-4
1-118-76260-6 |
Classificazione | MAT029000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Part I Introduction; Chapter 1 Statistical hypothesis testing; 1.1 Theory of statistical hypothesis testing; 1.2 Testing statistical hypothesis with SAS and R; 1.2.1 Programming philosophy of SAS and R; 1.2.2 Testing in SAS and R-An example; 1.2.3 Calculating p-values; 1.3 Presentation of the statistical tests; References; Part II Normal Distribution; Chapter 2 Tests on the mean; 2.1 One-sample tests; 2.1.1 z-test; 2.1.2 t-test; 2.2 Two-sample tests; 2.2.1 Two-sample z-test; 2.2.2 Two-sample pooled t-test; 2.2.3 Welch test; 2.2.4 Paired z-test
2.2.5 Paired t-testReferences; Chapter 3 Tests on the variance; 3.1 One-sample tests; 3.1.1 x2-test on the variance (mean known); 3.1.2 x2-test on the variance (mean unknown); 3.2 Two-sample tests; 3.2.1 Two-sample F-test on variances of two populations; 3.2.2 t-test on variances of two dependent populations; References; Part III Binomial Distribution; Chapter 4 Tests on proportions; 4.1 One-sample tests; 4.1.1 Binomial test; 4.2 Two-sample tests; 4.2.1 z-test for the difference of two proportions (unpooled variances); 4.2.2 z-test for the equality between two proportions (pooled variances) 4.3 K-sample tests4.3.1 K-sample binomial test; References; Part IV Other Distributions; Chapter 5 Poisson distribution; 5.1 Tests on the Poisson parameter; 5.1.1 z-test on the Poisson parameter; 5.1.2 Exact test on the Poisson parameter; 5.1.3 z-test on the difference between two Poisson parameters; References; Chapter 6 Exponential distribution; 6.1 Test on the parameter of an exponential distribution; 6.1.1 z-test on the parameter of an exponential distribution; Reference; Part V Correlation; Chapter 7 Tests on association; 7.1 One-sample tests 7.1.1 Pearson's product moment correlation coefficient7.1.2 Spearman's rank correlation coefficient; 7.1.3 Partial correlation; 7.2 Two-sample tests; 7.2.1 z-test for two correlation coefficients (independent populations); References; Part VI Nonparametric Tests; Chapter 8 Tests on location; 8.1 One-sample tests; 8.1.1 Sign test; 8.1.2 Wilcoxon signed-rank test; 8.2 Two-sample tests; 8.2.1 Wilcoxon rank-sum test (Mann-Whitney U test); 8.2.2 Wilcoxon matched-pairs signed-rank test; 8.3 K-sample tests; 8.3.1 Kruskal-Wallis test; References; Chapter 9 Tests on scale difference 9.1 Two-sample tests9.1.1 Siegel-Tukey test; 9.1.2 Ansari-Bradley test; 9.1.3 Mood test; References; Chapter 10 Other tests; 10.1 Two-sample tests; 10.1.1 Kolmogorov-Smirnov two-sample test (Smirnov test); References; Part VII Goodness-of-Fit Tests; Chapter 11 Tests on normality; 11.1 Tests based on the EDF; 11.1.1 Kolmogorov-Smirnov test (Lilliefors test for normality); 11.1.2 Anderson-Darling test; 11.1.3 Cramér-von Mises test; 11.2 Tests not based on the EDF; 11.2.1 Shapiro-Wilk test; 11.2.2 Jarque-Bera test; References; Chapter 12 Tests on other distributions; 12.1 Tests based on the EDF 12.1.1 Kolmogorov-Smirnov test |
Record Nr. | UNINA-9910138965003321 |
Taeger Dirk
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[Hoboken, New Jersey] : , : John Wiley & Sons, Incorporation, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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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.
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Hoboken, NJ, : Wiley, 2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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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.
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Hoboken, NJ, : Wiley, 2008 | ||
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Lo trovi qui: Univ. Federico II | ||
|
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-9910840934103321 |
Hartung Joachim, Prof. Dr.
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Hoboken, NJ, : Wiley, 2008 | ||
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Lo trovi qui: Univ. Federico II | ||
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A statistical test suite for random and pseudorandom number generators for cryptographic applications [[electronic resource] /] / Andrew Rukhin ... [and others] |
Autore | Rukhin Andrew L |
Edizione | [Rev.] |
Pubbl/distr/stampa | [Gaithersburg, MD] : , : [U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology], , [2001] |
Descrizione fisica | xi, 153 pages : digital, PDF file |
Altri autori (Persone) |
RukhinAndrew L
BasshamLawrence E |
Collana | NIST special publication |
Soggetto topico |
Random number generators
Statistical hypothesis testing Computer security Data encryption (Computer science) |
Soggetto non controllato |
Hypothesis test
P-value Random number generator Statistical tests |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910695299803321 |
Rukhin Andrew L
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[Gaithersburg, MD] : , : [U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology], , [2001] | ||
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Lo trovi qui: Univ. Federico II | ||
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Statistical tests in mixed linear models [[electronic resource] /] / André I. Khuri, Thomas Mathew, Bimal K. Sinha |
Autore | Khuri André I. <1940-> |
Pubbl/distr/stampa | New York, : Wiley, c1998 |
Descrizione fisica | 1 online resource (378 p.) |
Disciplina | 519.5 |
Altri autori (Persone) |
MathewThomas <1955->
SinhaBimal K. <1946-> |
Collana | Wiley series in probability and statistics. Applied probability and statistics section |
Soggetto topico |
Linear models (Statistics)
Statistical hypothesis testing |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-27397-7
9786613273970 1-118-16486-5 1-118-16485-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Statistical Tests for Mixed Linear Models; Contents; Preface; 1. Nature of Exact and Optimum Tests in Mixed Linear Models; 1.1. Introduction; 1.2. Exact F-Tests; 1.3. Optimality of Tests; 1.3.1. Uniformly Most Powerful Similar and Uniformly Most Powerful Unbiased Tests; 1.3.2. Uniformly Most Powerful Invariant and Locally Most Powerful or Locally Best Invariant Tests; Appendix 1.1. Distribution of a Maximal Invariant T (x): Wijsman's Representation Theorem; Bibliography; 2. Balanced Random and Mixed Models; 2.1. Introduction; 2.2. Balanced Models - Notations and Definitions
2.3. Balanced Model Properties2.4. Balanced Mixed Models: Distribution Theory; 2.5. Derivation of Optimum Tests; 2.5.1. A Numerical Example; 2.6. Approximate and Exact Tests; 2.6.1. Satterthwaite's Approximation; 2.6.2. Exact Unbiased Tests of Bartlett-Scheffé Type; Exercises; Bibliography; 3. Measures of Data Imbalance; 3.1. Introduction; 3.2. The Effects of Imbalance; 3.2.1. The Variance of σ2τ; 3.2.2. The Probability of a Negative σ2τ; 3.2.3. Power of the Test Concerning σ2τ; 3.3. Measures of Imbalance for the One-Way Model; 3.3.1. The Effect of Imbalance on Var(σ2τ) 3.3.2. The Effect of Imbalance on the Test Concerning σ2τ3.4. A General Procedure For Measuring Imbalance; 3.4.1. The One-Way Classification Model; 3.4.2. The Two-Way Classification Model; 3.4.3. The Three-Way Classification Model; 3.5. Special Types of Imbalance; 3.5.1. The Two-Fold Nested Classification Model; 3.5.2. A Model With a Mixture of Cross-Classified and Nested Effects; 3.6. A General Method for Determining the Effect of Imbalance; 3.6.1. Generation of Designs Having a Specified Degree of Imbalance for the One-Way Model; 3.6.2. An Example; 3.7. Summary Appendix 3.1. Hirotsu's ApproximationExercises; Bibliography; 4. Unbalanced One-Way and Two-Way Random Models; 4.1. Introduction; 4.2. Unbalanced One-Way Random Models; 4.3. Two-Way Random Models; 4.3.1. Models Without Interaction: Exact Tests; 4.3.2. Models Without Interaction: Optimum Tests; 4.3.3. Models With Interaction: Exact Tests; 4.3.4. A Numerical Example; 4.4. Random Two-Fold Nested Models; 4.4.1. Testing Hβ(τ) : σ2β(τ) = 0; 4.4.2. Testing Hτ : σ2τ = 0; Exercises; Bibliography; 5. Random Models with Unequal Cell Frequencies in the Last Stage; 5.1. Introduction 5.2. Unbalanced Random Models With Imbalance In The Last Stage Only-Notation5.3. Unbalanced Random Models With Imbalance In The Last Stage Only-Analysis; 5.3.1. Derivation of Exact Tests; 5.4. More on Exact Tests; 5.4.1. Power of the Exact Tests; 5.4.2. Sufficient Statistics Associated With the Exact Tests; 5.5. A Numerical Example; Exercises; Bibliography; 6. Tests in Unbalanced Mixed Models; 6.1. Introduction; 6.2. Mixed Models With Two Variance Components; 6.2.1. Test for Hτ : τ1 = ... = τυ; 6.2.2. Optimum Test for Hτ : σ2τ = 0 6.3. Mixed Two-Way Crossed-Classification Models With Interactions |
Record Nr. | UNINA-9910139594203321 |
Khuri André I. <1940->
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New York, : Wiley, c1998 | ||
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Lo trovi qui: Univ. Federico II | ||
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