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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, NY, : 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, NY, : 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 / / J.C.W. Rayner, O. Thas, D.J. Best
Smooth tests of goodness of fit / / 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-9910876774303321
Rayner J. C. W  
Hoboken, NJ, : Wiley, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical hypothesis testing with SAS and R / / Dirk Taeger, Sonja Kuhnt
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  
[Hoboken, New Jersey] : , : John Wiley & Sons, Incorporation, , 2014
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
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-9910830603703321
Hartung Joachim, Prof. Dr.  
Hoboken, NJ, : Wiley, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical meta-analysis with applications / / Joachim Hartung, Guido Knapp, Bimal K. Sinha
Statistical meta-analysis with applications / / 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-9910877421003321
Hartung Joachim, Prof. Dr.  
Hoboken, NJ, : Wiley, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A statistical test suite for random and pseudorandom number generators for cryptographic applications [[electronic resource] /] / Andrew Rukhin ... [and others]
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  
[Gaithersburg, MD] : , : [U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology], , [2001]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui