The role of between-case effect size in conducting, interpreting, and summarizing single-case research / / authors: William R. Shadish [and three others] |
Autore | Shadish William R. |
Pubbl/distr/stampa | [Washington, D.C.] : , : U.S. Department of Education, Institute of Education Sciences, , 2015 |
Descrizione fisica | 1 online resource (iv, 102 pages) : illustrations |
Soggetto topico |
Educational statistics
Education - Research - Methodology Single subject research Experimental design Effect sizes (Statistics) |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910705605503321 |
Shadish William R.
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[Washington, D.C.] : , : U.S. Department of Education, Institute of Education Sciences, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Rotary engine friction test rig development report / / Brian C. Huffman ; prepared by Motile Robotics, Inc |
Autore | Huffman Brian C. |
Pubbl/distr/stampa | Aberdeen Proving Ground, MD : , : US Army Research Laboratory, , December 2011 |
Descrizione fisica | 1 online resource (22 unnumbered pages) : color illustrations |
Soggetto topico |
Rotary combustion engines
Friction gearing Experimental design |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910706717203321 |
Huffman Brian C.
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Aberdeen Proving Ground, MD : , : US Army Research Laboratory, , December 2011 | ||
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Lo trovi qui: Univ. Federico II | ||
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Simulation [[electronic resource] ] : a modeler's approach / / James R. Thompson |
Autore | Thompson James R (James Robert), <1938-> |
Pubbl/distr/stampa | New York, : Wiley, 2000 |
Descrizione fisica | 1 online resource (332 p.) |
Disciplina | 003.3 |
Collana | Wiley series in probability and statistics. Applied probability and statistics |
Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
ISBN |
1-282-30763-0
9786612307638 0-470-31706-X 0-470-31790-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Simulation A Modeler's Approach; Contents; Preface; 1 The Generation of Random Numbers; 1.1. Introduction; 1.2. The Generation of Random Uniform Variates; 1.3. Latticing and Other Problems; Problems; References; 2 Random Quadrature; 2.1. Introduction; 2.2. Hit-or-h.iiss Monte Carlo; 2.3. Sample Mean Monte Carlo; 2.4. Control Variate Sampling; 2.5. Importance Sampling; 2.6. Stratification; 2.7. Antithetic Variates; 2.8, Least Squares Est.imators; 2.9. Evaluation of Multidimensional Integrals; 2.10. Stratification in Multidimensional Integration; 2.11. Wiener Measure and Brownian Motion
ProblemsReferences; 3 Monte Carlo Solutions of Differential Equations; 3.1. Introduction; 3.2. Gambler's Ruin; 3.3. Solution of Simple Differential Equations; 3.4. Solution of the Fokker-Planck Equation; 3.5. The Dirichlet Problem; 3.6. Solution of General Elliptic Differential Equations; 3.7. Conclusions; Problems; References; 4 Markov Chains, Poisson Processes, and Linear Equations; 4.1. Discrete Markov hfodeling; 4.1.1. The Basic Model; 4.1.2. Saving the King; 4.1.3. Screening for Cancer; 4.2. Poisson Process Modeling; 4.3. Solving Systems of Linear Equations 4.3.1. An Inefficient Procedure4.3.2. An Algorithm Based on Jacobi Iteration; Problems; References; 5 SIMEST, SIMDAT, and Pseudoreality; 5.1. Computers Si, Models No; 5.2. The Bootstrap: A Dirac-Comb Density btimator; 5.3. SIh4DAT: 4 Smooth Resampling Algorithm; 5.3.1. The SIhIDAT Algorithm; 5.3.2. An Empirical Justification of SIMDAT; 5.4. SIMEST: .4n Oncological Example; 5.4.1. An Exploratory Prelude; 5.4.2. Model and Algorithms; Problems; References; 6 Models for Stocks and Derivatives; 6.1. Introduction; 6.2. Ito's Lemma; 6.3. A Geometric Brownian Model for Stocks; 6.4. Diversification 6.5. Negatively Correlated Portfotios6.6. Bear Jumps; 6.7. Options; 6.8. Getting Real: Simulation Analysis of Option Buying; 6.9. Conclusions; Problems; References; 7 Simulation Assessment of Multivariate and Robust Procedures in Statisticai Process Control; 7.1. Introduction; 7.2. A Cont.amination Model for SPC; 7.3. A Compound Test for Higher-Dimensional SPC Data; 7.4. Rank Testing with Higher-Dimensional SPC Data; 7.5. A Robust Estimation Procedure for Location in Higher Dimensions; Problems; Referencas; 8 Noise and Chaos; 8.1. Introduction; 8.2. The Discrete Logistic Model 8.3. A Chaotic Convection Model8.4. Conclusions; Problems; References; 9 Bayesian Approaches; 9.1. Introduction; 9.2. The EM Algorithm; 9.3. The Data Augmentation Algorithm; 9.4. The Gibbs Sampler; 9.5. Conclusions; Problems; References; 10 Resampling-Based Tests; 10.1. Introduction; 10.2. Fisher's Analysis of Darwin's Data; 10.3. A Bootstrap Approximation to Fisher's Nonparametric Test; 10.4. The Classical Randomization Test; 10.5. A Resampling-Based Sign Test; 10.6. A Resampling Approach to Confidence Intervds; 10.7. Resampling for Regression Model Selection 10.8. The Bootstrap as an All-Purpose Tool |
Record Nr. | UNINA-9910144683703321 |
Thompson James R (James Robert), <1938->
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New York, : Wiley, 2000 | ||
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Lo trovi qui: Univ. Federico II | ||
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Simulation [[electronic resource] ] : a modeler's approach / / James R. Thompson |
Autore | Thompson James R (James Robert), <1938-> |
Pubbl/distr/stampa | New York, : Wiley, 2000 |
Descrizione fisica | 1 online resource (332 p.) |
Disciplina | 003.3 |
Collana | Wiley series in probability and statistics. Applied probability and statistics |
Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
ISBN |
1-282-30763-0
9786612307638 0-470-31706-X 0-470-31790-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Simulation A Modeler's Approach; Contents; Preface; 1 The Generation of Random Numbers; 1.1. Introduction; 1.2. The Generation of Random Uniform Variates; 1.3. Latticing and Other Problems; Problems; References; 2 Random Quadrature; 2.1. Introduction; 2.2. Hit-or-h.iiss Monte Carlo; 2.3. Sample Mean Monte Carlo; 2.4. Control Variate Sampling; 2.5. Importance Sampling; 2.6. Stratification; 2.7. Antithetic Variates; 2.8, Least Squares Est.imators; 2.9. Evaluation of Multidimensional Integrals; 2.10. Stratification in Multidimensional Integration; 2.11. Wiener Measure and Brownian Motion
ProblemsReferences; 3 Monte Carlo Solutions of Differential Equations; 3.1. Introduction; 3.2. Gambler's Ruin; 3.3. Solution of Simple Differential Equations; 3.4. Solution of the Fokker-Planck Equation; 3.5. The Dirichlet Problem; 3.6. Solution of General Elliptic Differential Equations; 3.7. Conclusions; Problems; References; 4 Markov Chains, Poisson Processes, and Linear Equations; 4.1. Discrete Markov hfodeling; 4.1.1. The Basic Model; 4.1.2. Saving the King; 4.1.3. Screening for Cancer; 4.2. Poisson Process Modeling; 4.3. Solving Systems of Linear Equations 4.3.1. An Inefficient Procedure4.3.2. An Algorithm Based on Jacobi Iteration; Problems; References; 5 SIMEST, SIMDAT, and Pseudoreality; 5.1. Computers Si, Models No; 5.2. The Bootstrap: A Dirac-Comb Density btimator; 5.3. SIh4DAT: 4 Smooth Resampling Algorithm; 5.3.1. The SIhIDAT Algorithm; 5.3.2. An Empirical Justification of SIMDAT; 5.4. SIMEST: .4n Oncological Example; 5.4.1. An Exploratory Prelude; 5.4.2. Model and Algorithms; Problems; References; 6 Models for Stocks and Derivatives; 6.1. Introduction; 6.2. Ito's Lemma; 6.3. A Geometric Brownian Model for Stocks; 6.4. Diversification 6.5. Negatively Correlated Portfotios6.6. Bear Jumps; 6.7. Options; 6.8. Getting Real: Simulation Analysis of Option Buying; 6.9. Conclusions; Problems; References; 7 Simulation Assessment of Multivariate and Robust Procedures in Statisticai Process Control; 7.1. Introduction; 7.2. A Cont.amination Model for SPC; 7.3. A Compound Test for Higher-Dimensional SPC Data; 7.4. Rank Testing with Higher-Dimensional SPC Data; 7.5. A Robust Estimation Procedure for Location in Higher Dimensions; Problems; Referencas; 8 Noise and Chaos; 8.1. Introduction; 8.2. The Discrete Logistic Model 8.3. A Chaotic Convection Model8.4. Conclusions; Problems; References; 9 Bayesian Approaches; 9.1. Introduction; 9.2. The EM Algorithm; 9.3. The Data Augmentation Algorithm; 9.4. The Gibbs Sampler; 9.5. Conclusions; Problems; References; 10 Resampling-Based Tests; 10.1. Introduction; 10.2. Fisher's Analysis of Darwin's Data; 10.3. A Bootstrap Approximation to Fisher's Nonparametric Test; 10.4. The Classical Randomization Test; 10.5. A Resampling-Based Sign Test; 10.6. A Resampling Approach to Confidence Intervds; 10.7. Resampling for Regression Model Selection 10.8. The Bootstrap as an All-Purpose Tool |
Record Nr. | UNINA-9910830059003321 |
Thompson James R (James Robert), <1938->
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New York, : Wiley, 2000 | ||
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Lo trovi qui: Univ. Federico II | ||
|
Simulation [[electronic resource] ] : a modeler's approach / / James R. Thompson |
Autore | Thompson James R (James Robert), <1938-> |
Pubbl/distr/stampa | New York, : Wiley, 2000 |
Descrizione fisica | 1 online resource (332 p.) |
Disciplina | 003.3 |
Collana | Wiley series in probability and statistics. Applied probability and statistics |
Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
ISBN |
1-282-30763-0
9786612307638 0-470-31706-X 0-470-31790-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Simulation A Modeler's Approach; Contents; Preface; 1 The Generation of Random Numbers; 1.1. Introduction; 1.2. The Generation of Random Uniform Variates; 1.3. Latticing and Other Problems; Problems; References; 2 Random Quadrature; 2.1. Introduction; 2.2. Hit-or-h.iiss Monte Carlo; 2.3. Sample Mean Monte Carlo; 2.4. Control Variate Sampling; 2.5. Importance Sampling; 2.6. Stratification; 2.7. Antithetic Variates; 2.8, Least Squares Est.imators; 2.9. Evaluation of Multidimensional Integrals; 2.10. Stratification in Multidimensional Integration; 2.11. Wiener Measure and Brownian Motion
ProblemsReferences; 3 Monte Carlo Solutions of Differential Equations; 3.1. Introduction; 3.2. Gambler's Ruin; 3.3. Solution of Simple Differential Equations; 3.4. Solution of the Fokker-Planck Equation; 3.5. The Dirichlet Problem; 3.6. Solution of General Elliptic Differential Equations; 3.7. Conclusions; Problems; References; 4 Markov Chains, Poisson Processes, and Linear Equations; 4.1. Discrete Markov hfodeling; 4.1.1. The Basic Model; 4.1.2. Saving the King; 4.1.3. Screening for Cancer; 4.2. Poisson Process Modeling; 4.3. Solving Systems of Linear Equations 4.3.1. An Inefficient Procedure4.3.2. An Algorithm Based on Jacobi Iteration; Problems; References; 5 SIMEST, SIMDAT, and Pseudoreality; 5.1. Computers Si, Models No; 5.2. The Bootstrap: A Dirac-Comb Density btimator; 5.3. SIh4DAT: 4 Smooth Resampling Algorithm; 5.3.1. The SIhIDAT Algorithm; 5.3.2. An Empirical Justification of SIMDAT; 5.4. SIMEST: .4n Oncological Example; 5.4.1. An Exploratory Prelude; 5.4.2. Model and Algorithms; Problems; References; 6 Models for Stocks and Derivatives; 6.1. Introduction; 6.2. Ito's Lemma; 6.3. A Geometric Brownian Model for Stocks; 6.4. Diversification 6.5. Negatively Correlated Portfotios6.6. Bear Jumps; 6.7. Options; 6.8. Getting Real: Simulation Analysis of Option Buying; 6.9. Conclusions; Problems; References; 7 Simulation Assessment of Multivariate and Robust Procedures in Statisticai Process Control; 7.1. Introduction; 7.2. A Cont.amination Model for SPC; 7.3. A Compound Test for Higher-Dimensional SPC Data; 7.4. Rank Testing with Higher-Dimensional SPC Data; 7.5. A Robust Estimation Procedure for Location in Higher Dimensions; Problems; Referencas; 8 Noise and Chaos; 8.1. Introduction; 8.2. The Discrete Logistic Model 8.3. A Chaotic Convection Model8.4. Conclusions; Problems; References; 9 Bayesian Approaches; 9.1. Introduction; 9.2. The EM Algorithm; 9.3. The Data Augmentation Algorithm; 9.4. The Gibbs Sampler; 9.5. Conclusions; Problems; References; 10 Resampling-Based Tests; 10.1. Introduction; 10.2. Fisher's Analysis of Darwin's Data; 10.3. A Bootstrap Approximation to Fisher's Nonparametric Test; 10.4. The Classical Randomization Test; 10.5. A Resampling-Based Sign Test; 10.6. A Resampling Approach to Confidence Intervds; 10.7. Resampling for Regression Model Selection 10.8. The Bootstrap as an All-Purpose Tool |
Record Nr. | UNINA-9910841722703321 |
Thompson James R (James Robert), <1938->
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New York, : Wiley, 2000 | ||
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Lo trovi qui: Univ. Federico II | ||
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Simulation : a modeler's approach James R. Thompson |
Autore | Thompson, James R. |
Pubbl/distr/stampa | New York [etc.] : Wiley and Sons, 2000 |
Descrizione fisica | xx, 297 p. : il. ; 24 cm |
Collana | Wiley series in probability and statistics. Applied probability and statistics |
Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
ISBN | 0471251844 |
Classificazione |
AMS 65-01
AMS 65C60 LC QA.T494 2000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991001983949707536 |
Thompson, James R.
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New York [etc.] : Wiley and Sons, 2000 | ||
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Lo trovi qui: Univ. del Salento | ||
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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.
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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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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.
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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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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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Statistical design and analysis of biological experiments / / Hans-Michael Kaltenbach |
Autore | Kaltenbach Hans-Michael |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (281 pages) |
Disciplina | 001.434 |
Collana | Statistics for Biology and Health |
Soggetto topico |
Experimental design
Disseny d'experiments |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-69641-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466549503316 |
Kaltenbach Hans-Michael
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Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. di Salerno | ||
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