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Mixed models [[electronic resource] ] : theory and applications with R / / Eugene Demidenko
| Mixed models [[electronic resource] ] : theory and applications with R / / Eugene Demidenko |
| Autore | Demidenko Eugene <1948-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2013 |
| Descrizione fisica | xxvii, 717 p. : ill |
| Disciplina | 519.5/38 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Analysis of variance |
| ISBN |
9781118593066
1118593065 9781118651537 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface xviiPreface to the Second Edition xixR software and functions xxData Sets xxiiOpen Problems in Mixed Models xxiii1 Introduction: Why Mixed Models? 11.1 Mixed effects for clustered data 21.2 ANOVA, variance components, and the mixed model 41.3 Other special cases of the mixed effects model 61.4 A compromise between Bayesian and frequentist approaches 71.5 Penalized likelihood and mixed effects 91.6 Healthy Akaike information criterion 111.7 Penalized smoothing 131.8 Penalized polynomial fitting 161.9 Restraining parameters, or what to eat 181.10 Ill-posed problems, Tikhonov regularization, and mixed effects 201.11 Computerized tomography and linear image reconstruction 231.12 GLMM for PET 261.13 Maple shape leaf analysis 291.14 DNA Western blot analysis 311.15 Where does the wind blow? 331.16 Software and books361.17 Summary points 372 MLE for LME Model 412.1 Example: Weight versus height 422.2 The model and log-likelihood functions 452.3 Balanced random-coefficient model 602.4 LME model with random intercepts 642.5 Criterion for the MLE existence 722.6 Criterion for positive definiteness of matrix D742.7 Preestimation bounds for variance parameters 772.8 Maximization algorithms792.9 Derivatives of the log-likelihood function 812.10 Newton--Raphson algorithm 832.11 Fisher scoring algorithm852.12 EM algorithm 882.13 Starting point 932.14 Algorithms for restricted MLE 962.15 Optimization on nonnegative definite matrices 972.16 lmeFS and lme in R 1082.17 Appendix: Proof of the MLE existence 1122.18 Summary points 1153 Statistical Properties of the LME Model 1193.1 Introduction 1193.2 Identifiability of the LMEmodel 1193.3 Information matrix for variance parameters 1223.4 Profile-likelihood confidence intervals 1333.5 Statistical testing of the presence of random effects 1353.6 Statistical properties of MLE 1393.7 Estimation of random effects 1483.8 Hypothesis and membership testing 1533.9 Ignoring random effects 1573.10 MINQUE for variance parameters 1603.11 Method of moments 1693.12 Variance least squares estimator 1733.13 Projection on D+ space 1783.14 Comparison of the variance parameter estimation 1783.15 Asymptotically efficient estimation for [beta] 1823.16 Summary points 1834 Growth Curve Model and Generalizations 1874.1 Linear growth curve model 1874.2 General linear growth curve model 2034.3 Linear model with linear covariance structure 2214.4 Robust linear mixed effects model 2354.5 Appendix: Derivation of the MM estimator 2434.6 Summary points 2445 Meta-analysis Model 2475.1 Simple meta-analysis model 2485.2 Meta-analysis model with covariates 2755.3 Multivariate meta-analysis model 2805.4 Summary points 2916 Nonlinear Marginal Model 2936.1 Fixed matrix of random effects 2946.2 Varied matrix of random effects 3076.3 Three types of nonlinear marginal models 3186.4 Total generalized estimating equations approach 3236.5 Summary points 3307 Generalized Linear Mixed Models 3337.1 Regression models for binary data 3347.2 Binary model with subject-specific intercept 3577.3 Logistic regression with random intercept 3647.4 Probit model with random intercept 3847.5 Poisson model with random intercept 3887.6 Random intercept model: overview 4037.7 Mixed models with multiple random effects 4047.8 GLMM and simulation methods 4137.9 GEE for clustered marginal GLM 4187.10 Criteria for MLE existence for binary model 4267.11 Summary points 4318 Nonlinear Mixed Effects Model 4358.1 Introduction 4358.2 The model 4368.3 Example: Height of girls and boys 4398.4 Maximum likelihood estimation 4418.5 Two-stage estimator 4448.6 First-order approximation 4508.7 Lindstrom--Bates estimator 4528.8 Likelihood approximations 4578.9 One-parameter exponential model 4608.10 Asymptotic equivalence of the TS and LB estimators 4678.11 Bias-corrected two-stage estimator 4698.12 Distribution misspecification 4718.13 Partially nonlinear marginal mixed model 4748.14 Fixed sample likelihood approach4758.15 Estimation of random effects and hypothesis testing 4788.16 Example (continued) 4798.17 Practical recommendations 4818.18 Appendix: Proof of theorem on equivalence 4828.19 Summary points 4859 Diagnostics and Influence Analysis 4899.1 Introduction 4899.2 Influence analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model 4959.5 Nonlinear regression model 5129.6 Logistic regression for binary outcome 5179.7 Influence of correlation structure 5269.8 Influence of measurement error 5279.9 Influence analysis for the LME model 5309.10 Appendix: MLE derivative with respect to σ2 5369.11 Summary points 53710 Tumor Regrowth Curves 54110.1 Survival curves 54310.2 Double--exponential regrowth curve 54510.3 Exponential growth with fixed regrowth time 55910.4 General regrowth curve 56510.5 Double--exponential transient regrowth curve 56610.6 Gompertz transient regrowth curve 57310.7 Summary points 57611 Statistical Analysis of Shape 57911.1 Introduction 57911.2 Statistical analysis of random triangles 58111.3 Face recognition 58411.4 Scale-irrelevant shape model 58511.5 Gorilla vertebrae analysis 58911.6 Procrustes estimation of the mean shape 59111.7 Fourier descriptor analysis 59811.8 Summary points 60712 Statistical Image Analysis 60912.1 Introduction 60912.2 Testing for uniform lighting 61212.3 Kolmogorov--Smirnov image comparison 61612.4 Multinomial statistical model for images 62012.5 Image entropy 62312.6 Ensemble of unstructured images 62712.7 Image alignment and registration 64012.8 Ensemble of structured images 65212.9 Modeling spatial correlation 65412.10 Summary points 66013 Appendix: Useful Facts and Formulas 66313.1 Basic facts of asymptotic theory 66313.2 Some formulas of matrix algebra 67013.3 Basic facts of optimization theory 674References 683Index 713. |
| Record Nr. | UNINA-9910795949803321 |
Demidenko Eugene <1948->
|
||
| Hoboken, : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mixed models : theory and applications with R / / Eugene Demidenko
| Mixed models : theory and applications with R / / Eugene Demidenko |
| Autore | Demidenko Eugene <1948-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2013 |
| Descrizione fisica | xxvii, 717 p. : ill |
| Disciplina | 519.5/38 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Analysis of variance |
| ISBN |
1-118-59306-5
1-118-59299-9 1-118-65153-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface xviiPreface to the Second Edition xixR software and functions xxData Sets xxiiOpen Problems in Mixed Models xxiii1 Introduction: Why Mixed Models? 11.1 Mixed effects for clustered data 21.2 ANOVA, variance components, and the mixed model 41.3 Other special cases of the mixed effects model 61.4 A compromise between Bayesian and frequentist approaches 71.5 Penalized likelihood and mixed effects 91.6 Healthy Akaike information criterion 111.7 Penalized smoothing 131.8 Penalized polynomial fitting 161.9 Restraining parameters, or what to eat 181.10 Ill-posed problems, Tikhonov regularization, and mixed effects 201.11 Computerized tomography and linear image reconstruction 231.12 GLMM for PET 261.13 Maple shape leaf analysis 291.14 DNA Western blot analysis 311.15 Where does the wind blow? 331.16 Software and books361.17 Summary points 372 MLE for LME Model 412.1 Example: Weight versus height 422.2 The model and log-likelihood functions 452.3 Balanced random-coefficient model 602.4 LME model with random intercepts 642.5 Criterion for the MLE existence 722.6 Criterion for positive definiteness of matrix D742.7 Preestimation bounds for variance parameters 772.8 Maximization algorithms792.9 Derivatives of the log-likelihood function 812.10 Newton--Raphson algorithm 832.11 Fisher scoring algorithm852.12 EM algorithm 882.13 Starting point 932.14 Algorithms for restricted MLE 962.15 Optimization on nonnegative definite matrices 972.16 lmeFS and lme in R 1082.17 Appendix: Proof of the MLE existence 1122.18 Summary points 1153 Statistical Properties of the LME Model 1193.1 Introduction 1193.2 Identifiability of the LMEmodel 1193.3 Information matrix for variance parameters 1223.4 Profile-likelihood confidence intervals 1333.5 Statistical testing of the presence of random effects 1353.6 Statistical properties of MLE 1393.7 Estimation of random effects 1483.8 Hypothesis and membership testing 1533.9 Ignoring random effects 1573.10 MINQUE for variance parameters 1603.11 Method of moments 1693.12 Variance least squares estimator 1733.13 Projection on D+ space 1783.14 Comparison of the variance parameter estimation 1783.15 Asymptotically efficient estimation for [beta] 1823.16 Summary points 1834 Growth Curve Model and Generalizations 1874.1 Linear growth curve model 1874.2 General linear growth curve model 2034.3 Linear model with linear covariance structure 2214.4 Robust linear mixed effects model 2354.5 Appendix: Derivation of the MM estimator 2434.6 Summary points 2445 Meta-analysis Model 2475.1 Simple meta-analysis model 2485.2 Meta-analysis model with covariates 2755.3 Multivariate meta-analysis model 2805.4 Summary points 2916 Nonlinear Marginal Model 2936.1 Fixed matrix of random effects 2946.2 Varied matrix of random effects 3076.3 Three types of nonlinear marginal models 3186.4 Total generalized estimating equations approach 3236.5 Summary points 3307 Generalized Linear Mixed Models 3337.1 Regression models for binary data 3347.2 Binary model with subject-specific intercept 3577.3 Logistic regression with random intercept 3647.4 Probit model with random intercept 3847.5 Poisson model with random intercept 3887.6 Random intercept model: overview 4037.7 Mixed models with multiple random effects 4047.8 GLMM and simulation methods 4137.9 GEE for clustered marginal GLM 4187.10 Criteria for MLE existence for binary model 4267.11 Summary points 4318 Nonlinear Mixed Effects Model 4358.1 Introduction 4358.2 The model 4368.3 Example: Height of girls and boys 4398.4 Maximum likelihood estimation 4418.5 Two-stage estimator 4448.6 First-order approximation 4508.7 Lindstrom--Bates estimator 4528.8 Likelihood approximations 4578.9 One-parameter exponential model 4608.10 Asymptotic equivalence of the TS and LB estimators 4678.11 Bias-corrected two-stage estimator 4698.12 Distribution misspecification 4718.13 Partially nonlinear marginal mixed model 4748.14 Fixed sample likelihood approach4758.15 Estimation of random effects and hypothesis testing 4788.16 Example (continued) 4798.17 Practical recommendations 4818.18 Appendix: Proof of theorem on equivalence 4828.19 Summary points 4859 Diagnostics and Influence Analysis 4899.1 Introduction 4899.2 Influence analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model 4959.5 Nonlinear regression model 5129.6 Logistic regression for binary outcome 5179.7 Influence of correlation structure 5269.8 Influence of measurement error 5279.9 Influence analysis for the LME model 5309.10 Appendix: MLE derivative with respect to σ2 5369.11 Summary points 53710 Tumor Regrowth Curves 54110.1 Survival curves 54310.2 Double--exponential regrowth curve 54510.3 Exponential growth with fixed regrowth time 55910.4 General regrowth curve 56510.5 Double--exponential transient regrowth curve 56610.6 Gompertz transient regrowth curve 57310.7 Summary points 57611 Statistical Analysis of Shape 57911.1 Introduction 57911.2 Statistical analysis of random triangles 58111.3 Face recognition 58411.4 Scale-irrelevant shape model 58511.5 Gorilla vertebrae analysis 58911.6 Procrustes estimation of the mean shape 59111.7 Fourier descriptor analysis 59811.8 Summary points 60712 Statistical Image Analysis 60912.1 Introduction 60912.2 Testing for uniform lighting 61212.3 Kolmogorov--Smirnov image comparison 61612.4 Multinomial statistical model for images 62012.5 Image entropy 62312.6 Ensemble of unstructured images 62712.7 Image alignment and registration 64012.8 Ensemble of structured images 65212.9 Modeling spatial correlation 65412.10 Summary points 66013 Appendix: Useful Facts and Formulas 66313.1 Basic facts of asymptotic theory 66313.2 Some formulas of matrix algebra 67013.3 Basic facts of optimization theory 674References 683Index 713. |
| Record Nr. | UNINA-9910821283003321 |
|
Demidenko Eugene <1948->
|
||
| Hoboken, : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Model-based analysis and optimisation of Haber-Bosch process designs for power-to-ammonia / / Izzat Iqbal Cheema
| Model-based analysis and optimisation of Haber-Bosch process designs for power-to-ammonia / / Izzat Iqbal Cheema |
| Autore | Cheema Izzat Iqbal |
| Pubbl/distr/stampa | Gottingen : , : Cuvillier Verlag, , 2019 |
| Descrizione fisica | 1 online resource (149 pages) |
| Disciplina | 519.538 |
| Soggetto topico | Analysis of variance |
| ISBN | 3-7369-8995-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793528203321 |
|
Cheema Izzat Iqbal
|
||
| Gottingen : , : Cuvillier Verlag, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Model-based analysis and optimisation of Haber-Bosch process designs for power-to-ammonia / / Izzat Iqbal Cheema
| Model-based analysis and optimisation of Haber-Bosch process designs for power-to-ammonia / / Izzat Iqbal Cheema |
| Autore | Cheema Izzat Iqbal |
| Pubbl/distr/stampa | Gottingen : , : Cuvillier Verlag, , 2019 |
| Descrizione fisica | 1 online resource (149 pages) |
| Disciplina | 519.538 |
| Soggetto topico | Analysis of variance |
| ISBN | 3-7369-8995-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910818126803321 |
|
Cheema Izzat Iqbal
|
||
| Gottingen : , : Cuvillier Verlag, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling time-varying unconditional variance by means of a free-knot spline-GARCH model / / Oliver Old
| Modeling time-varying unconditional variance by means of a free-knot spline-GARCH model / / Oliver Old |
| Autore | Old Oliver |
| Pubbl/distr/stampa | Wiesbaden, Germany : , : Springer Gabler, , [2022] |
| Descrizione fisica | 1 online resource (260 pages) |
| Disciplina | 519.538 |
| Collana | Gabler theses |
| Soggetto topico |
Analysis of variance
Spline theory |
| ISBN |
9783658386184
9783658386177 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- List of Abbreviations -- List of Symbols -- 1 Introduction -- 1.1 Motivation -- 1.2 Problem statement -- 1.3 Outline of the thesis -- 2 Financial time series -- 2.1 Definitions and properties -- 2.2 Stylized facts -- 2.3 Model specification -- 2.4 Univariate GARCH models -- 2.5 Long-range dependence and structural breaks -- 3 Smoothing long term volatility -- 3.1 Multiplicative decomposition of the conditional variance function -- 3.2 Spline functions -- 3.2.1 Truncated power spline function -- 3.2.2 B-spline functions -- 3.3 Model review -- 3.3.1 Spline volatility models -- 3.3.2 Spline-GARCH model -- 3.3.3 B-spline-GARCH model -- 3.3.4 P-spline GARCH model -- 4 Free-knot spline-GARCH model -- 4.1 Optimization -- 4.2 Estimation methods -- 4.2.1 Least-squares -- 4.2.2 Least-squares with free-knots -- 4.2.3 Jupp transformation -- 4.2.4 Quasi-maximum-likelihood -- 4.3 Model selection -- 4.4 Forecast evaluation -- 4.5 Starting vector -- 5 Simulation study -- 5.1 Previous studies -- 5.2 Simulation setup -- 5.2.1 Data generating process -- 5.2.2 Computational aspects -- 5.2.3 Sample statistics -- 5.2.4 Asymptotic statistics -- 5.2.5 Specification -- 5.2.6 Starting vectors -- 5.3 Model selection -- 5.4 Finite sample properties -- 6 Empirical study -- 6.1 Previous studies -- 6.2 In-sample analysis -- 6.3 Out-of-sample forecast -- 7 Conclusion -- 7.1 Research problems and contributions -- 7.2 Research questions -- 7.3 Limitations and future research -- 7.4 Concluding remarks -- References -- Appendices -- A Standardized Student's t-distribution -- B Derivatives -- B.1 Free-knot spline-GARCH model -- B.2 P-spline-GARCH model -- C Tables -- C.1 Simulation study: knots -- C.2 Simulation study: Finite sample properties -- C.3 Empirical study -- D Figures.
D.1 Simulation study: distribution of knot selection -- D.2 Simulation study: asymptotic distribution estimators -- D.3 Emprical study. |
| Record Nr. | UNINA-9910585789603321 |
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Old Oliver
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| Wiesbaden, Germany : , : Springer Gabler, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern analysis of biological data : generalized linear models in R / / Stano Pekar, Marek Brabec
| Modern analysis of biological data : generalized linear models in R / / Stano Pekar, Marek Brabec |
| Autore | Pekar Stano |
| Pubbl/distr/stampa | Brno, [Czech Republic] : , : Masaryk University, , 2016 |
| Descrizione fisica | 1 online resource (247 pages) : illustrations (some color) |
| Disciplina | 001.42 |
| Soggetto topico |
Quantitative research
Analysis of variance Distribution (Probability theory) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 80-210-8106-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910467122803321 |
|
Pekar Stano
|
||
| Brno, [Czech Republic] : , : Masaryk University, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern analysis of biological data : generalized linear models in R / / Stano Pekar, Marek Brabec
| Modern analysis of biological data : generalized linear models in R / / Stano Pekar, Marek Brabec |
| Autore | Pekar Stano |
| Pubbl/distr/stampa | Brno, [Czech Republic] : , : Masaryk University, , 2016 |
| Descrizione fisica | 1 online resource (247 pages) : illustrations (some color) |
| Disciplina | 001.42 |
| Soggetto topico |
Quantitative research
Analysis of variance Distribution (Probability theory) R (Computer program language) |
| ISBN | 80-210-8106-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796495303321 |
|
Pekar Stano
|
||
| Brno, [Czech Republic] : , : Masaryk University, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern analysis of biological data : generalized linear models in R / / Stano Pekar, Marek Brabec
| Modern analysis of biological data : generalized linear models in R / / Stano Pekar, Marek Brabec |
| Autore | Pekar Stano |
| Pubbl/distr/stampa | Brno, [Czech Republic] : , : Masaryk University, , 2016 |
| Descrizione fisica | 1 online resource (247 pages) : illustrations (some color) |
| Disciplina | 001.42 |
| Soggetto topico |
Quantitative research
Analysis of variance Distribution (Probability theory) R (Computer program language) |
| ISBN | 80-210-8106-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910807413303321 |
|
Pekar Stano
|
||
| Brno, [Czech Republic] : , : Masaryk University, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple regression and the analysis of variance and covariance / Allen L. Edwards
| Multiple regression and the analysis of variance and covariance / Allen L. Edwards |
| Autore | Edwards, Allen Louis |
| Edizione | [2nd ed] |
| Pubbl/distr/stampa | New York : W. H. Freeman, c1985 |
| Descrizione fisica | xv, 221 p. ; 24 cm. |
| Disciplina | 519.536 |
| Collana | A Series of books in psychology |
| Soggetto topico |
Analysis of variance
Psychometrics Regression analysis |
| ISBN | 0716717042 |
| Classificazione | AMS 62J10 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991001161589707536 |
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Edwards, Allen Louis
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| New York : W. H. Freeman, c1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Ordinal measurement in the behavioral sciences [[electronic resource] /] / Norman Cliff, John A. Keats
| Ordinal measurement in the behavioral sciences [[electronic resource] /] / Norman Cliff, John A. Keats |
| Autore | Cliff Norman <1930-> |
| Pubbl/distr/stampa | Mahwah, N.J., : Lawrence Erlbaum Associates, 2003 |
| Descrizione fisica | 1 online resource (241 p.) |
| Disciplina | 150/.28/7 |
| Altri autori (Persone) | KeatsJ. A (John Augustus) |
| Soggetto topico |
Psychology - Mathematical models
Social sciences - Statistical methods Analysis of variance Psychological tests - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-37435-4
9786612374357 1-4106-0680-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Book Cover; Title; Copyright; Contents; Preface; Chapter 1: The Purpose of Psychological Assessment; Chapter 2: What Makes a Variable a Scale?; Chapter 3: Types of Assessment; Chapter 4: Item Scores and Their Addition to Obtain Total Test Scores in the Case of Dichotomous Items; Chapter 5: Item Scores and Their Addition to Obtain Total Test Scores in the Case of Polytomous Items; Chapter 6: Dominance Analysis of Tests; Chapter 7: Approaches to Ordering Things and Stimuli; Chapter 8: Alternatives to Complete Paired Comparisons; Chapter 9: The Unfolding Model
Chapter 10: The Application of Ordinal Test Theory to Items in Tests Used in Cross-Cultural ComparisonsAppendix A: FLOW CHART FOR A PROGRAM TO CARRY OUT A COMPLETE ITEM ANALYSIS OF ITEMS IN A TEST OR SCALE USING A SMALL PERSONAL COMPUTER; Appendix B: STATISTICAL TABLES; References; Author Index; Subject Index |
| Record Nr. | UNINA-9910455341003321 |
|
Cliff Norman <1930->
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| Mahwah, N.J., : Lawrence Erlbaum Associates, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
