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Empirical model building [[electronic resource] ] : data, models, and reality / / James R. Thompson
| Empirical model building [[electronic resource] ] : data, models, and reality / / James R. Thompson |
| Autore | Thompson James R (James Robert), <1938-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, c2011 |
| Descrizione fisica | 1 online resource (460 p.) |
| Disciplina |
519.5/7
519.57 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
| ISBN |
1-283-40069-3
9786613400697 1-118-10965-1 1-118-10962-7 |
| Classificazione | MAT029000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Empirical Model Building: Data, Models, and Reality; Contents; Preface; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep and the Quiet Revolution of 1980; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Theory of Malthus; 1.5. Metastasis and Resistance; Problems; References; 2. Models of Competition, Survival, and Combat; 2.1. An Analysis of the Demographics of Ancient Israel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Data-Based Wargaming; 2.3.1. Herman Kahn and the Winning of the Cold War
2.4. Predation and Immune Response Systems2.5. Pyramid Clubs for Fun and Profit; Problems; References; 3. Epidemics; 3.1. Introduction; 3.2. John Snow and the London Cholera Epidemic of 1854; 3.3. Prelude: The Postwar Polio Epidemic; 3.4. AIDS: A New Epidemic for America; 3.5. Why an AIDS Epidemic in America?; 3.5.1. Political Correctness Can Kill; 3.6. The Effect of the Gay Bathhouses; 3.7. A More Detailed Look at the Model; 3.8. Forays into the Public Policy Arena; 3.9. Modeling the Mature Epidemic; 3.10. AIDS as a Facilitator of Other Epidemics; 3.11. Comparisons with First World Countries 3.12. Conclusions: A Modeler's PortfolioProblems; References; 4. Bootstrapping; 4.1. Introduction; 4.2. Bootstrapping Analysis of Darwin's Data; 4.3. A Bootstrapping Approximation to Fisher's Nonparametric Test; 4.4. A Resampling Bassed Sign Test; 4.5. A Bootstrapping Approach for Confidence Intervals; 4.6. Solving Ill-Structured Problems; Problems; References; 5. Monte Carlo Solutions of Differential Equations; 5.1. Introduction; 5.2. Gambler's Ruin; 5.3. Solution of Simple Differential Equations; 5.4. Solution of the Fokker-Planck Equation; 5.5. The Dirichlet Problem 5.6. Solution of General Elliptic Differential Equations5.7. Conclusions; Problems; References; 6. SIMEST, SIMDAT, and Pseudoreality; 6.1. Introduction; 6.2. The Bootstrap: A Dirac-Comb Density Estimator; 6.3. SIMDAT: A Smooth Resampling Algorithm; 6.3.1. The SIMDAT Algorithm; 6.3.2. An Empirical Justification of SIMDAT; 6.4. SIMEST: An Oncological Example; 6.4.1. An Exploratory Prelude; 6.4.2. Models and Algorithms; Problems; References; 7. Exploratory Data Analysis; 7.1. Introduction; 7.2. Smoothing; 7.3. The Stem and Leaf Plot; 7.4. The Five Figure Summary; 7.5. Tukey's Box Plot; Problems References8. Noise Killing Chaos; 8.1. Introduction; 8.2. The Discrete Logistic Model; 8.3. A Chaotic Convection Model; 8.4. Conclusions; Problems; References; 9. A Primer in Bayesian Data Analysis; 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. Multivariate and Robust Procedures in Statistical Process Control; 10.1. Introduction; 10.2. A Contamination Model for SPC; 10.3. A Compound Test for Higher Dimensional SPC Data; 10.4. Rank Testing with Higher Dimensional SPC Data 10.5. A Robust Estimation Procedure for Location in Higher Dimensions |
| Record Nr. | UNINA-9910141174403321 |
Thompson James R (James Robert), <1938->
|
||
| Hoboken, N.J., : John Wiley & Sons, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Empirical model building [[electronic resource] /] / James R. Thompson
| Empirical model building [[electronic resource] /] / James R. Thompson |
| Autore | Thompson James R (James Robert), <1938-> |
| Pubbl/distr/stampa | New York, : Wiley, c1989 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 519.5 |
| Collana | Wiley series in probability and mathematical statistics. Probability and mathematical statistics |
| Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
| ISBN |
1-282-30753-3
9786612307539 0-470-31678-0 0-470-31745-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Empirical Model Building; Contents; Introduction; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Model of Malthus; 1.5. Metastasis and Resistance; 2. Models of Competition, Combat, and Epidemic; 2.1. An Analysis of the Demographics of Ancient Israel Based on Figures in the Books of Numbers, Judges, and II Samuel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Wargaming; 2.4. Predation and Immune Response Systems; 2.5. Pyramid Clubs for Fun and Profit
2.6. A Simple Model of AIDS3. Simulation and the Coming Qualitative Change in Scientific ModeIing; 3.1. Simulation-Based Techniques for Dealing with Problems Usually Approached via Differential Equation Modeling; 3.2. SIMDAT: An Algorithm for Data-Based Simulation; 3.3 Simulation-Based Estimation; 4. Some Techniques of Nonstandard Data Analysis; 4.1. A Glimpse at Exploratory Data Analysis; 4.2. Nonparametric Density Estimation; 5. Paradoxes and False Trails; 5.1. Some Problems with Group Consensus; 5.2. Stein's Paradox; 5.3. Fuzzy Set Theory; 5.4. Quality Control; Appendix A.1. A Brief Primer in StochasticsA.2. A Simple Optimization Algorithm that Usually Works; Index |
| Record Nr. | UNINA-9910144695803321 |
|
Thompson James R (James Robert), <1938->
|
||
| New York, : Wiley, c1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Empirical model building [[electronic resource] /] / James R. Thompson
| Empirical model building [[electronic resource] /] / James R. Thompson |
| Autore | Thompson James R (James Robert), <1938-> |
| Pubbl/distr/stampa | New York, : Wiley, c1989 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 519.5 |
| Collana | Wiley series in probability and mathematical statistics. Probability and mathematical statistics |
| Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
| ISBN |
1-282-30753-3
9786612307539 0-470-31678-0 0-470-31745-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Empirical Model Building; Contents; Introduction; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Model of Malthus; 1.5. Metastasis and Resistance; 2. Models of Competition, Combat, and Epidemic; 2.1. An Analysis of the Demographics of Ancient Israel Based on Figures in the Books of Numbers, Judges, and II Samuel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Wargaming; 2.4. Predation and Immune Response Systems; 2.5. Pyramid Clubs for Fun and Profit
2.6. A Simple Model of AIDS3. Simulation and the Coming Qualitative Change in Scientific ModeIing; 3.1. Simulation-Based Techniques for Dealing with Problems Usually Approached via Differential Equation Modeling; 3.2. SIMDAT: An Algorithm for Data-Based Simulation; 3.3 Simulation-Based Estimation; 4. Some Techniques of Nonstandard Data Analysis; 4.1. A Glimpse at Exploratory Data Analysis; 4.2. Nonparametric Density Estimation; 5. Paradoxes and False Trails; 5.1. Some Problems with Group Consensus; 5.2. Stein's Paradox; 5.3. Fuzzy Set Theory; 5.4. Quality Control; Appendix A.1. A Brief Primer in StochasticsA.2. A Simple Optimization Algorithm that Usually Works; Index |
| Record Nr. | UNINA-9910829965203321 |
|
Thompson James R (James Robert), <1938->
|
||
| New York, : Wiley, c1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Empirical model building [[electronic resource] /] / James R. Thompson
| Empirical model building [[electronic resource] /] / James R. Thompson |
| Autore | Thompson James R (James Robert), <1938-> |
| Pubbl/distr/stampa | New York, : Wiley, c1989 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 519.5 |
| Collana | Wiley series in probability and mathematical statistics. Probability and mathematical statistics |
| Soggetto topico |
Experimental design
Mathematical models Mathematical statistics |
| ISBN |
1-282-30753-3
9786612307539 0-470-31678-0 0-470-31745-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Empirical Model Building; Contents; Introduction; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Model of Malthus; 1.5. Metastasis and Resistance; 2. Models of Competition, Combat, and Epidemic; 2.1. An Analysis of the Demographics of Ancient Israel Based on Figures in the Books of Numbers, Judges, and II Samuel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Wargaming; 2.4. Predation and Immune Response Systems; 2.5. Pyramid Clubs for Fun and Profit
2.6. A Simple Model of AIDS3. Simulation and the Coming Qualitative Change in Scientific ModeIing; 3.1. Simulation-Based Techniques for Dealing with Problems Usually Approached via Differential Equation Modeling; 3.2. SIMDAT: An Algorithm for Data-Based Simulation; 3.3 Simulation-Based Estimation; 4. Some Techniques of Nonstandard Data Analysis; 4.1. A Glimpse at Exploratory Data Analysis; 4.2. Nonparametric Density Estimation; 5. Paradoxes and False Trails; 5.1. Some Problems with Group Consensus; 5.2. Stein's Paradox; 5.3. Fuzzy Set Theory; 5.4. Quality Control; Appendix A.1. A Brief Primer in StochasticsA.2. A Simple Optimization Algorithm that Usually Works; Index |
| Record Nr. | UNINA-9910841415203321 |
|
Thompson James R (James Robert), <1938->
|
||
| New York, : Wiley, c1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation [[electronic resource] ] : a modeler's approach / / James R. Thompson
| 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->
|
||
| New York, : Wiley, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation [[electronic resource] ] : a modeler's approach / / James R. Thompson
| 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->
|
||
| New York, : Wiley, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulation [[electronic resource] ] : a modeler's approach / / James R. Thompson
| 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->
|
||
| New York, : Wiley, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||