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Geostatistica : teoria e applicazioni / Donato Posa, Sandra De Iaco
| Geostatistica : teoria e applicazioni / Donato Posa, Sandra De Iaco |
| Autore | Posa, Donato |
| Pubbl/distr/stampa | Torino : Giappichelli, 2009 |
| Descrizione fisica | xii, 244 p. ; 24 |
| Disciplina |
910.015195
550.72 |
| Altri autori (Persone) | De Iaco, Sandraauthor |
| Soggetto topico | Territorio - Analisi - Metodi statistici |
| ISBN | 9788834897447 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISALENTO-991000572119707536 |
Posa, Donato
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| Torino : Giappichelli, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Geostatistical simulation : procedings of the Geostatical simulation workshop, Fontainebleu, France, 27-28 May 1993 / edited by M.Armstrong and P.A. Dowd
| Geostatistical simulation : procedings of the Geostatical simulation workshop, Fontainebleu, France, 27-28 May 1993 / edited by M.Armstrong and P.A. Dowd |
| Autore | ARMSTRONG, M. |
| Pubbl/distr/stampa | Dodrecht [etc.] : Kluwer, copyr. 1994 |
| Disciplina | 550.72 |
| Altri autori (Persone) | DOWD, P.A. |
| Collana | Quantitative geology and geostatistics |
| Soggetto topico | Geologia - Metodi statistici - Congressi 1993 |
| ISBN | 0-7923-2732-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990001225830203316 |
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ARMSTRONG, M.
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| Dodrecht [etc.] : Kluwer, copyr. 1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Geostatistics [[electronic resource] ] : Modeling Spatial Uncertainty
| Geostatistics [[electronic resource] ] : Modeling Spatial Uncertainty |
| Autore | Chil?s Jean-Paul |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2012 |
| Descrizione fisica | 1 online resource (740 p.) |
| Disciplina |
550
550.72 |
| Altri autori (Persone) | DelfinerPierre |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Earth sciences - Statistical methods
Earth sciences -- Statistical methods Environmental engineering Geology -- Statistical methods Mining engineering Geology Earth & Environmental Sciences Geology - General |
| ISBN |
1-280-58852-7
9786613618351 1-118-13617-9 1-118-13618-7 1-118-13615-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geostatistics: Modeling Spatial Uncertainty; Contents; Preface to the Second Edition; Preface to the First Edition; Abbreviations; Introduction; Types of Problems Considered; Description or Interpretation?; 1. Preliminaries; 1.1: Random Functions; 1.2: On the Objectivity of Probabilistic Statements; 1.3: Transitive Theory; 2. Structural Analysis; 2.1: General Principles; 2.2: Variogram Cloud and Sample Variogram; 2.3: Mathematical Properties of the Variogram; 2.4: Regularization and Nugget Effect; 2.5: Variogram Models; 2.6: Fitting a Variogram Model
2.7: Variography in the Presence of a Drift2.8: Simple Applications of the Variogram; 2.9: Complements: Theory of Variogram Estimation and Fluctuation; 3. Kriging; 3.1: Introduction; 3.2: Notations and Assumptions; 3.3: Kriging with a Known Mean; 3.4: Kriging with an Unknown Mean; 3.5: Estimation of a Spatial Average; 3.6: Selection of a Kriging Neighborhood; 3.7: Measurement Errors and Outliers; 3.8: Case Study: The Channel Tunnel; 3.9: Kriging Under Inequality Constraints; 4. Intrinsic Model of Order k; 4.1: Introduction; 4.2: A Second Look at the Model of Universal Kriging 4.3: Allowable Linear Combinations of Order k4.4: Intrinsic Random Functions of Order k; 4.5: Generalized Covariance Functions; 4.6: Estimation in the IRF Model; 4.7: Generalized Variogram; 4.8: Automatic Structure Identification; 4.9: Stochastic Differential Equations; 5. Multivariate Methods; 5.1: Introduction; 5.2: Notations and Assumptions; 5.3: Simple Cokriging; 5.4: Universal Cokriging; 5.5: Derivative Information; 5.6: Multivariate Random Functions; 5.7: Shortcuts; 5.8: Space-Time Models; 6. Nonlinear Methods; 6.1: Introduction; 6.2: Global Point Distribution 6.3: Local Point Distribution: Simple Methods6.4: Local Estimation by Disjunctive Kriging; 6.5: Selectivity and Support Effect; 6.6: Multi-Gaussian Change-of-Support Model; 6.7: Affine Correction; 6.8: Discrete Gaussian Model; 6.9: Non-Gaussian Isofactorial Change-of-Support Models; 6.10: Applications and Discussion; 6.11: Change of Support by the Maximum (C. Lantuéjoul); 7. Conditional Simulations; 7.1: Introduction and Definitions; 7.2: Direct Conditional Simulation of a Continuous Variable; 7.3: Conditioning by Kriging; 7.4: Turning Bands 7.5: Nonconditional Simulation of a Continuous Variable7.6: Simulation of a Categorical Variable; 7.7: Object-Based Simulations: Boolean Models; 7.8: Beyond Standard Conditioning; 7.9: Additional Topics; 7.10: Case Studies; Appendix; References; Index |
| Record Nr. | UNINA-9910141310403321 |
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Chil?s Jean-Paul
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| Hoboken, : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Geostatistics : Modeling Spatial Uncertainty
| Geostatistics : Modeling Spatial Uncertainty |
| Autore | Chil?s Jean-Paul |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2012 |
| Descrizione fisica | 1 online resource (740 p.) |
| Disciplina |
550
550.72 |
| Altri autori (Persone) | DelfinerPierre |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Earth sciences - Statistical methods
Earth sciences -- Statistical methods Environmental engineering Geology -- Statistical methods Mining engineering Geology Earth & Environmental Sciences Geology - General |
| ISBN |
1-280-58852-7
9786613618351 1-118-13617-9 1-118-13618-7 1-118-13615-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geostatistics: Modeling Spatial Uncertainty; Contents; Preface to the Second Edition; Preface to the First Edition; Abbreviations; Introduction; Types of Problems Considered; Description or Interpretation?; 1. Preliminaries; 1.1: Random Functions; 1.2: On the Objectivity of Probabilistic Statements; 1.3: Transitive Theory; 2. Structural Analysis; 2.1: General Principles; 2.2: Variogram Cloud and Sample Variogram; 2.3: Mathematical Properties of the Variogram; 2.4: Regularization and Nugget Effect; 2.5: Variogram Models; 2.6: Fitting a Variogram Model
2.7: Variography in the Presence of a Drift2.8: Simple Applications of the Variogram; 2.9: Complements: Theory of Variogram Estimation and Fluctuation; 3. Kriging; 3.1: Introduction; 3.2: Notations and Assumptions; 3.3: Kriging with a Known Mean; 3.4: Kriging with an Unknown Mean; 3.5: Estimation of a Spatial Average; 3.6: Selection of a Kriging Neighborhood; 3.7: Measurement Errors and Outliers; 3.8: Case Study: The Channel Tunnel; 3.9: Kriging Under Inequality Constraints; 4. Intrinsic Model of Order k; 4.1: Introduction; 4.2: A Second Look at the Model of Universal Kriging 4.3: Allowable Linear Combinations of Order k4.4: Intrinsic Random Functions of Order k; 4.5: Generalized Covariance Functions; 4.6: Estimation in the IRF Model; 4.7: Generalized Variogram; 4.8: Automatic Structure Identification; 4.9: Stochastic Differential Equations; 5. Multivariate Methods; 5.1: Introduction; 5.2: Notations and Assumptions; 5.3: Simple Cokriging; 5.4: Universal Cokriging; 5.5: Derivative Information; 5.6: Multivariate Random Functions; 5.7: Shortcuts; 5.8: Space-Time Models; 6. Nonlinear Methods; 6.1: Introduction; 6.2: Global Point Distribution 6.3: Local Point Distribution: Simple Methods6.4: Local Estimation by Disjunctive Kriging; 6.5: Selectivity and Support Effect; 6.6: Multi-Gaussian Change-of-Support Model; 6.7: Affine Correction; 6.8: Discrete Gaussian Model; 6.9: Non-Gaussian Isofactorial Change-of-Support Models; 6.10: Applications and Discussion; 6.11: Change of Support by the Maximum (C. Lantuéjoul); 7. Conditional Simulations; 7.1: Introduction and Definitions; 7.2: Direct Conditional Simulation of a Continuous Variable; 7.3: Conditioning by Kriging; 7.4: Turning Bands 7.5: Nonconditional Simulation of a Continuous Variable7.6: Simulation of a Categorical Variable; 7.7: Object-Based Simulations: Boolean Models; 7.8: Beyond Standard Conditioning; 7.9: Additional Topics; 7.10: Case Studies; Appendix; References; Index |
| Record Nr. | UNINA-9910808398903321 |
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Chil?s Jean-Paul
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| Hoboken, : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Geostatistics : modeling spatial uncertainty / Jean-Paul Chiles, Pierre Delfiner
| Geostatistics : modeling spatial uncertainty / Jean-Paul Chiles, Pierre Delfiner |
| Autore | Chiles, Jean-Paul |
| Pubbl/distr/stampa | New York [etc.], : Wiley, c1999 |
| Descrizione fisica | XI, 695 p. : ill. ; 25 cm. |
| Disciplina | 550.72 |
| Altri autori (Persone) | Delfiner, Pierre |
| Collana | Wiley series in probability and statistics, . Applied probability and statistics |
| Soggetto topico |
Geologia - Analisi dei dati - Metodi statistici
Scienze geologiche - Metodi statistici |
| ISBN |
0471083151
9780471083153 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISANNIO-UBO0336416 |
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Chiles, Jean-Paul
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| New York [etc.], : Wiley, c1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Sannio | ||
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Geostatistics : modeling spatial uncertainty / Jean-Paul Chilès, Pierre Delfiner
| Geostatistics : modeling spatial uncertainty / Jean-Paul Chilès, Pierre Delfiner |
| Autore | Chilès, Jean-Paul |
| Pubbl/distr/stampa | New York, : Wiley-Interscience, c1999 |
| Descrizione fisica | xi, 695 p. ; 24 cm |
| Disciplina | 550.72 |
| Altri autori (Persone) | Delfiner, Pierre |
| Soggetto topico | Scienze della terra - Metodi statistici |
| ISBN | 0471083151 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAS-RML0269521 |
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Chilès, Jean-Paul
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| New York, : Wiley-Interscience, c1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Cassino | ||
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Geostatistics for compositional data with R / / Raimon Tolosana-Delgado, Ute Mueller
| Geostatistics for compositional data with R / / Raimon Tolosana-Delgado, Ute Mueller |
| Autore | Tolosana-Delgado Raimon |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (275 pages) |
| Disciplina | 550.72 |
| Collana | Use R! |
| Soggetto topico |
Geologia - Mètodes estadístics
R (Llenguatge de programació) Geology - Statistical methods R (Computer program language) Geoestadística |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-82568-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466566003316 |
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Tolosana-Delgado Raimon
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Geostatistics for compositional data with R / / Raimon Tolosana-Delgado, Ute Mueller
| Geostatistics for compositional data with R / / Raimon Tolosana-Delgado, Ute Mueller |
| Autore | Tolosana-Delgado Raimon |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (275 pages) |
| Disciplina | 550.72 |
| Collana | Use R! |
| Soggetto topico |
Geologia - Mètodes estadístics
R (Llenguatge de programació) Geology - Statistical methods R (Computer program language) Geoestadística |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-82568-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510584803321 |
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Tolosana-Delgado Raimon
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver
| Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver |
| Autore | Webster R |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
550.72
550/.7/2 |
| Altri autori (Persone) | OliverM. A (Margaret A.) |
| Collana | Statistics in practice |
| Soggetto topico |
Geology - Statistical methods
Environmental sciences - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-13530-5
9786611135300 0-470-51727-1 0-470-51726-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geostatistics for Environmental Scientists; Contents; Preface; 1 Introduction; 1.1 WHY GEOSTATISTICS?; 1.1.1 Generalizing; 1.1.2 Description; 1.1.3 Interpretation; 1.1.4 Control; 1.2 A LITTLE HISTORY; 1.3 FINDING YOUR WAY; 2 Basic Statistics; 2.1 MEASUREMENT AND SUMMARY; 2.1.1 Notation; 2.1.2 Representing variation; 2.1.3 The centre; 2.1.4 Dispersion; 2.2 THE NORMAL DISTRIBUTION; 2.3 COVARIANCE AND CORRELATION; 2.4 TRANSFORMATIONS; 2.4.1 Logarithmic transformation; 2.4.2 Square root transformation; 2.4.3 Angular transformation; 2.4.4 Logit transformation
2.5 EXPLORATORY DATA ANALYSIS AND DISPLAY2.5.1 Spatial aspects; 2.6 SAMPLING AND ESTIMATION; 2.6.1 Target population and units; 2.6.2 Simple random sampling; 2.6.3 Confidence limits; 2.6.4 Student's t; 2.6.5 The x2 distribution; 2.6.6 Central limit theorem; 2.6.7 Increasing precision and efficiency; 2.6.8 Soil classification; 3 Prediction and Interpolation; 3.1 SPATIAL INTERPOLATION; 3.1.1 Thiessen polygons (Voronoi polygons, Dirichlet tessellation); 3.1.2 Triangulation; 3.1.3 Natural neighbour interpolation; 3.1.4 Inverse functions of distance; 3.1.5 Trend surfaces; 3.1.6 Splines 3.2 SPATIAL CLASSIFICATION AND PREDICTING FROM SOIL MAPS3.2.1 Theory; 3.2.2 Summary; 4 Characterizing Spatial Processes: The Covariance and Variogram; 4.1 INTRODUCTION; 4.2 A STOCHASTIC APPROACH TO SPATIAL VARIATION: THE THEORY OF REGIONALIZED VARIABLES; 4.2.1 Random variables; 4.2.2 Random functions; 4.3 SPATIAL COVARIANCE; 4.3.1 Stationarity; 4.3.2 Ergodicity; 4.4 THE COVARIANCE FUNCTION; 4.5 INTRINSIC VARIATION AND THE VARIOGRAM; 4.5.1 Equivalence with covariance; 4.5.2 Quasi-stationarity; 4.6 CHARACTERISTICS OF THE SPATIAL CORRELATION FUNCTIONS; 4.7 WHICH VARIOGRAM? 4.8 SUPPORT AND KRIGE'S RELATION4.8.1 Regularization; 4.9 ESTIMATING SEMIVARIANCES AND COVARIANCES; 4.9.1 The variogram cloud; 4.9.2 h-Scattergrams; 4.9.3 Average semivariances; 4.9.4 The experimental covariance function; 5 Modelling the Variogram; 5.1 LIMITATIONS ON VARIOGRAM FUNCTIONS; 5.1.1 Mathematical constraints; 5.1.2 Behaviour near the origin; 5.1.3 Behaviour towards infinity; 5.2 AUTHORIZED MODELS; 5.2.1 Unbounded random variation; 5.2.2 Bounded models; 5.3 COMBINING MODELS; 5.4 PERIODICITY; 5.5 ANISOTROPY; 5.6 FITTING MODELS; 5.6.1 What weights?; 5.6.2 How complex? 6 Reliability of the Experimental Variogram and Nested Sampling6.1 RELIABILITY OF THE EXPERIMENTAL VARIOGRAM; 6.1.1 Statistical distribution; 6.1.2 Sample size and design; 6.1.3 Sample spacing; 6.2 THEORY OF NESTED SAMPLING AND ANALYSIS; 6.2.1 Link with regionalized variable theory; 6.2.2 Case study: Youden and Mehlich's survey; 6.2.3 Unequal sampling; 6.2.4 Case study: Wyre Forest survey; 6.2.5 Summary; 7 Spectral Analysis; 7.1 LINEAR SEQUENCES; 7.2 GILGAI TRANSECT; 7.3 POWER SPECTRA; 7.3.1 Estimating the spectrum; 7.3.2 Smoothing characteristics of windows; 7.3.3 Confidence 7.4 SPECTRAL ANALYSIS OF THE CARAGABAL TRANSECT |
| Record Nr. | UNINA-9910144721903321 |
|
Webster R
|
||
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver
| Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver |
| Autore | Webster R |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
550.72
550/.7/2 |
| Altri autori (Persone) | OliverM. A (Margaret A.) |
| Collana | Statistics in practice |
| Soggetto topico |
Geology - Statistical methods
Environmental sciences - Statistical methods |
| ISBN |
1-281-13530-5
9786611135300 0-470-51727-1 0-470-51726-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geostatistics for Environmental Scientists; Contents; Preface; 1 Introduction; 1.1 WHY GEOSTATISTICS?; 1.1.1 Generalizing; 1.1.2 Description; 1.1.3 Interpretation; 1.1.4 Control; 1.2 A LITTLE HISTORY; 1.3 FINDING YOUR WAY; 2 Basic Statistics; 2.1 MEASUREMENT AND SUMMARY; 2.1.1 Notation; 2.1.2 Representing variation; 2.1.3 The centre; 2.1.4 Dispersion; 2.2 THE NORMAL DISTRIBUTION; 2.3 COVARIANCE AND CORRELATION; 2.4 TRANSFORMATIONS; 2.4.1 Logarithmic transformation; 2.4.2 Square root transformation; 2.4.3 Angular transformation; 2.4.4 Logit transformation
2.5 EXPLORATORY DATA ANALYSIS AND DISPLAY2.5.1 Spatial aspects; 2.6 SAMPLING AND ESTIMATION; 2.6.1 Target population and units; 2.6.2 Simple random sampling; 2.6.3 Confidence limits; 2.6.4 Student's t; 2.6.5 The x2 distribution; 2.6.6 Central limit theorem; 2.6.7 Increasing precision and efficiency; 2.6.8 Soil classification; 3 Prediction and Interpolation; 3.1 SPATIAL INTERPOLATION; 3.1.1 Thiessen polygons (Voronoi polygons, Dirichlet tessellation); 3.1.2 Triangulation; 3.1.3 Natural neighbour interpolation; 3.1.4 Inverse functions of distance; 3.1.5 Trend surfaces; 3.1.6 Splines 3.2 SPATIAL CLASSIFICATION AND PREDICTING FROM SOIL MAPS3.2.1 Theory; 3.2.2 Summary; 4 Characterizing Spatial Processes: The Covariance and Variogram; 4.1 INTRODUCTION; 4.2 A STOCHASTIC APPROACH TO SPATIAL VARIATION: THE THEORY OF REGIONALIZED VARIABLES; 4.2.1 Random variables; 4.2.2 Random functions; 4.3 SPATIAL COVARIANCE; 4.3.1 Stationarity; 4.3.2 Ergodicity; 4.4 THE COVARIANCE FUNCTION; 4.5 INTRINSIC VARIATION AND THE VARIOGRAM; 4.5.1 Equivalence with covariance; 4.5.2 Quasi-stationarity; 4.6 CHARACTERISTICS OF THE SPATIAL CORRELATION FUNCTIONS; 4.7 WHICH VARIOGRAM? 4.8 SUPPORT AND KRIGE'S RELATION4.8.1 Regularization; 4.9 ESTIMATING SEMIVARIANCES AND COVARIANCES; 4.9.1 The variogram cloud; 4.9.2 h-Scattergrams; 4.9.3 Average semivariances; 4.9.4 The experimental covariance function; 5 Modelling the Variogram; 5.1 LIMITATIONS ON VARIOGRAM FUNCTIONS; 5.1.1 Mathematical constraints; 5.1.2 Behaviour near the origin; 5.1.3 Behaviour towards infinity; 5.2 AUTHORIZED MODELS; 5.2.1 Unbounded random variation; 5.2.2 Bounded models; 5.3 COMBINING MODELS; 5.4 PERIODICITY; 5.5 ANISOTROPY; 5.6 FITTING MODELS; 5.6.1 What weights?; 5.6.2 How complex? 6 Reliability of the Experimental Variogram and Nested Sampling6.1 RELIABILITY OF THE EXPERIMENTAL VARIOGRAM; 6.1.1 Statistical distribution; 6.1.2 Sample size and design; 6.1.3 Sample spacing; 6.2 THEORY OF NESTED SAMPLING AND ANALYSIS; 6.2.1 Link with regionalized variable theory; 6.2.2 Case study: Youden and Mehlich's survey; 6.2.3 Unequal sampling; 6.2.4 Case study: Wyre Forest survey; 6.2.5 Summary; 7 Spectral Analysis; 7.1 LINEAR SEQUENCES; 7.2 GILGAI TRANSECT; 7.3 POWER SPECTRA; 7.3.1 Estimating the spectrum; 7.3.2 Smoothing characteristics of windows; 7.3.3 Confidence 7.4 SPECTRAL ANALYSIS OF THE CARAGABAL TRANSECT |
| Record Nr. | UNINA-9910830444003321 |
|
Webster R
|
||
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
