Extensions of positive-definite distributions and maximum entropy / / Jean-Pierre Gabardo |
Autore | Gabardo Jean-Pierre <1958-> |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , 1993 |
Descrizione fisica | 1 online resource (111 p.) |
Disciplina | 515/.2433 |
Collana | Memoirs of the American Mathematical Society |
Soggetto topico |
Fourier analysis
Positive-definite functions Maximum entropy method |
Soggetto genere / forma | Electronic books. |
ISBN | 1-4704-0066-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | ""Contents""; ""Abstract""; ""Introduction""; ""Notation""; ""1. The discrete case""; ""2. Positiveâ€?definite distributions on an interval (â€?A, A)""; ""3. The nonâ€?degenerate case""; ""4. A closure problem in L[sup(2)][sub(Î?)(R)""; ""5. Entropy maximizing measures in M [sub(A)](Q)""; ""6. Uniqueness of the extension""; ""References"" |
Record Nr. | UNINA-9910480680903321 |
Gabardo Jean-Pierre <1958-> | ||
Providence, Rhode Island : , : American Mathematical Society, , 1993 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Extensions of positive-definite distributions and maximum entropy / / Jean-Pierre Gabardo |
Autore | Gabardo Jean-Pierre <1958-> |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , 1993 |
Descrizione fisica | 1 online resource (111 p.) |
Disciplina | 515/.2433 |
Collana | Memoirs of the American Mathematical Society |
Soggetto topico |
Fourier analysis
Positive-definite functions Maximum entropy method |
ISBN | 1-4704-0066-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | ""Contents""; ""Abstract""; ""Introduction""; ""Notation""; ""1. The discrete case""; ""2. Positiveâ€?definite distributions on an interval (â€?A, A)""; ""3. The nonâ€?degenerate case""; ""4. A closure problem in L[sup(2)][sub(Î?)(R)""; ""5. Entropy maximizing measures in M [sub(A)](Q)""; ""6. Uniqueness of the extension""; ""References"" |
Record Nr. | UNINA-9910788879903321 |
Gabardo Jean-Pierre <1958-> | ||
Providence, Rhode Island : , : American Mathematical Society, , 1993 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Extensions of positive-definite distributions and maximum entropy / / Jean-Pierre Gabardo |
Autore | Gabardo Jean-Pierre <1958-> |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , 1993 |
Descrizione fisica | 1 online resource (111 p.) |
Disciplina | 515/.2433 |
Collana | Memoirs of the American Mathematical Society |
Soggetto topico |
Fourier analysis
Positive-definite functions Maximum entropy method |
ISBN | 1-4704-0066-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | ""Contents""; ""Abstract""; ""Introduction""; ""Notation""; ""1. The discrete case""; ""2. Positiveâ€?definite distributions on an interval (â€?A, A)""; ""3. The nonâ€?degenerate case""; ""4. A closure problem in L[sup(2)][sub(Î?)(R)""; ""5. Entropy maximizing measures in M [sub(A)](Q)""; ""6. Uniqueness of the extension""; ""References"" |
Record Nr. | UNINA-9910817226403321 |
Gabardo Jean-Pierre <1958-> | ||
Providence, Rhode Island : , : American Mathematical Society, , 1993 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Linear inverse problems [[electronic resource] ] : the maximum entropy connection (with CD-ROM) / / Henryk Gzyl, Yurayh Velásquez |
Autore | Gzyl Henryk <1946-> |
Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, 2011 |
Descrizione fisica | 1 online resource (351 p.) |
Disciplina | 515/.357 |
Altri autori (Persone) | VelásquezYurayh |
Collana | Series on advances in mathematics for applied sciences |
Soggetto topico |
Inverse problems (Differential equations)
Maximum entropy method |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-14868-4
9786613148681 981-4338-78-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface; Contents; List of Figures; List of Tables; 1. Introduction; 2. A collection of linear inverse problems; 2.1 A battle horse for numerical computations; 2.2 Linear equations with errors in the data; 2.3 Linear equations with convex constraints; 2.4 Inversion of Laplace transforms from finite number of data points; 2.5 Fourier reconstruction from partial data; 2.6 More on the non-continuity of the inverse; 2.7 Transportation problems and reconstruction from marginals; 2.8 CAT; 2.9 Abstract spline interpolation; 2.10 Bibliographical comments and references; References
3. The basics about linear inverse problems3.1 Problemstatements; 3.2 Quasi solutions and variational methods; 3.3 Regularization and approximate solutions; 3.4 Appendix; 3.5 Bibliographical comments and references; References; 4. Regularization in Hilbert spaces: Deterministic and stochastic approaches; 4.1 Basics; 4.2 Tikhonov's regularization scheme; 4.3 Spectral cutoffs; 4.4 Gaussian regularization of inverse problems; 4.5 Bayesianmethods; 4.6 The method ofmaximumlikelihood; 4.7 Bibliographical comments and references; References; 5. Maxentropic approach to linear inverse problems 5.1 Heuristic preliminaries5.2 Some properties of the entropy functionals; 5.3 The direct approach to the entropic maximization problem; 5.4 Amore detailed analysis; 5.5 Convergence ofmaxentropic estimates; 5.6 Maxentropic reconstruction in the presence of noise; 5.7 Maxentropic reconstruction of signal and noise; 5.8 Maximum entropy according to Dacunha-Castelle and Gamboa. Comparison with Jaynes' classical approach; 5.8.1 Basic results; 5.8.2 Jaynes' and Dacunha and Gamboa's approaches; 5.9 MEM under translation; 5.10 Maxent reconstructions under increase of data 5.11 Bibliographical comments and referencesReferences; 6. Finite dimensional problems; 6.1 Two classical methods of solution; 6.2 Continuous time iteration schemes; 6.3 Incorporation of convex constraints; 6.3.1 Basics and comments; 6.3.2 Optimization with differentiable non-degenerate equality constraints; 6.3.3 Optimization with differentiable, non-degenerate inequality constraints; 6.4 The method of projections in continuous time; 6.5 Maxentropic approaches; 6.5.1 Linear systems with band constraints; 6.5.2 Linear system with Euclidean norm constraints 6.5.3 Linear systems with non-Euclidean norm constraints6.5.4 Linear systems with solutions in unbounded convex sets; 6.5.5 Linear equations without constraints; 6.6 Linear systems with measurement noise; 6.7 Bibliographical comments and references; References; 7. Some simple numerical examples and moment problems; 7.1 The density of the Earth; 7.1.1 Solution by the standard L2[0, 1] techniques; 7.1.2 Piecewise approximations in L2([0, 1]); 7.1.3 Linear programming approach; 7.1.4 Maxentropic reconstructions: Influence of a priori data; 7.1.5 Maxentropic reconstructions: Effect of the noise 7.2 A test case |
Record Nr. | UNINA-9910461308603321 |
Gzyl Henryk <1946-> | ||
Hackensack, N.J., : World Scientific, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Linear inverse problems [[electronic resource] ] : the maximum entropy connection (with CD-ROM) / / Henryk Gzyl, Yurayh Velásquez |
Autore | Gzyl Henryk <1946-> |
Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, 2011 |
Descrizione fisica | 1 online resource (351 p.) |
Disciplina | 515/.357 |
Altri autori (Persone) | VelásquezYurayh |
Collana | Series on advances in mathematics for applied sciences |
Soggetto topico |
Inverse problems (Differential equations)
Maximum entropy method |
ISBN |
1-283-14868-4
9786613148681 981-4338-78-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface; Contents; List of Figures; List of Tables; 1. Introduction; 2. A collection of linear inverse problems; 2.1 A battle horse for numerical computations; 2.2 Linear equations with errors in the data; 2.3 Linear equations with convex constraints; 2.4 Inversion of Laplace transforms from finite number of data points; 2.5 Fourier reconstruction from partial data; 2.6 More on the non-continuity of the inverse; 2.7 Transportation problems and reconstruction from marginals; 2.8 CAT; 2.9 Abstract spline interpolation; 2.10 Bibliographical comments and references; References
3. The basics about linear inverse problems3.1 Problemstatements; 3.2 Quasi solutions and variational methods; 3.3 Regularization and approximate solutions; 3.4 Appendix; 3.5 Bibliographical comments and references; References; 4. Regularization in Hilbert spaces: Deterministic and stochastic approaches; 4.1 Basics; 4.2 Tikhonov's regularization scheme; 4.3 Spectral cutoffs; 4.4 Gaussian regularization of inverse problems; 4.5 Bayesianmethods; 4.6 The method ofmaximumlikelihood; 4.7 Bibliographical comments and references; References; 5. Maxentropic approach to linear inverse problems 5.1 Heuristic preliminaries5.2 Some properties of the entropy functionals; 5.3 The direct approach to the entropic maximization problem; 5.4 Amore detailed analysis; 5.5 Convergence ofmaxentropic estimates; 5.6 Maxentropic reconstruction in the presence of noise; 5.7 Maxentropic reconstruction of signal and noise; 5.8 Maximum entropy according to Dacunha-Castelle and Gamboa. Comparison with Jaynes' classical approach; 5.8.1 Basic results; 5.8.2 Jaynes' and Dacunha and Gamboa's approaches; 5.9 MEM under translation; 5.10 Maxent reconstructions under increase of data 5.11 Bibliographical comments and referencesReferences; 6. Finite dimensional problems; 6.1 Two classical methods of solution; 6.2 Continuous time iteration schemes; 6.3 Incorporation of convex constraints; 6.3.1 Basics and comments; 6.3.2 Optimization with differentiable non-degenerate equality constraints; 6.3.3 Optimization with differentiable, non-degenerate inequality constraints; 6.4 The method of projections in continuous time; 6.5 Maxentropic approaches; 6.5.1 Linear systems with band constraints; 6.5.2 Linear system with Euclidean norm constraints 6.5.3 Linear systems with non-Euclidean norm constraints6.5.4 Linear systems with solutions in unbounded convex sets; 6.5.5 Linear equations without constraints; 6.6 Linear systems with measurement noise; 6.7 Bibliographical comments and references; References; 7. Some simple numerical examples and moment problems; 7.1 The density of the Earth; 7.1.1 Solution by the standard L2[0, 1] techniques; 7.1.2 Piecewise approximations in L2([0, 1]); 7.1.3 Linear programming approach; 7.1.4 Maxentropic reconstructions: Influence of a priori data; 7.1.5 Maxentropic reconstructions: Effect of the noise 7.2 A test case |
Record Nr. | UNINA-9910789411303321 |
Gzyl Henryk <1946-> | ||
Hackensack, N.J., : World Scientific, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Linear inverse problems : the maximum entropy connection (with CD-ROM) / / Henryk Gzyl, Yurayh Velásquez |
Autore | Gzyl Henryk <1946-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, 2011 |
Descrizione fisica | 1 online resource (351 p.) |
Disciplina | 515/.357 |
Altri autori (Persone) | VelásquezYurayh |
Collana | Series on advances in mathematics for applied sciences |
Soggetto topico |
Inverse problems (Differential equations)
Maximum entropy method |
ISBN |
1-283-14868-4
9786613148681 981-4338-78-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface; Contents; List of Figures; List of Tables; 1. Introduction; 2. A collection of linear inverse problems; 2.1 A battle horse for numerical computations; 2.2 Linear equations with errors in the data; 2.3 Linear equations with convex constraints; 2.4 Inversion of Laplace transforms from finite number of data points; 2.5 Fourier reconstruction from partial data; 2.6 More on the non-continuity of the inverse; 2.7 Transportation problems and reconstruction from marginals; 2.8 CAT; 2.9 Abstract spline interpolation; 2.10 Bibliographical comments and references; References
3. The basics about linear inverse problems3.1 Problemstatements; 3.2 Quasi solutions and variational methods; 3.3 Regularization and approximate solutions; 3.4 Appendix; 3.5 Bibliographical comments and references; References; 4. Regularization in Hilbert spaces: Deterministic and stochastic approaches; 4.1 Basics; 4.2 Tikhonov's regularization scheme; 4.3 Spectral cutoffs; 4.4 Gaussian regularization of inverse problems; 4.5 Bayesianmethods; 4.6 The method ofmaximumlikelihood; 4.7 Bibliographical comments and references; References; 5. Maxentropic approach to linear inverse problems 5.1 Heuristic preliminaries5.2 Some properties of the entropy functionals; 5.3 The direct approach to the entropic maximization problem; 5.4 Amore detailed analysis; 5.5 Convergence ofmaxentropic estimates; 5.6 Maxentropic reconstruction in the presence of noise; 5.7 Maxentropic reconstruction of signal and noise; 5.8 Maximum entropy according to Dacunha-Castelle and Gamboa. Comparison with Jaynes' classical approach; 5.8.1 Basic results; 5.8.2 Jaynes' and Dacunha and Gamboa's approaches; 5.9 MEM under translation; 5.10 Maxent reconstructions under increase of data 5.11 Bibliographical comments and referencesReferences; 6. Finite dimensional problems; 6.1 Two classical methods of solution; 6.2 Continuous time iteration schemes; 6.3 Incorporation of convex constraints; 6.3.1 Basics and comments; 6.3.2 Optimization with differentiable non-degenerate equality constraints; 6.3.3 Optimization with differentiable, non-degenerate inequality constraints; 6.4 The method of projections in continuous time; 6.5 Maxentropic approaches; 6.5.1 Linear systems with band constraints; 6.5.2 Linear system with Euclidean norm constraints 6.5.3 Linear systems with non-Euclidean norm constraints6.5.4 Linear systems with solutions in unbounded convex sets; 6.5.5 Linear equations without constraints; 6.6 Linear systems with measurement noise; 6.7 Bibliographical comments and references; References; 7. Some simple numerical examples and moment problems; 7.1 The density of the Earth; 7.1.1 Solution by the standard L2[0, 1] techniques; 7.1.2 Piecewise approximations in L2([0, 1]); 7.1.3 Linear programming approach; 7.1.4 Maxentropic reconstructions: Influence of a priori data; 7.1.5 Maxentropic reconstructions: Effect of the noise 7.2 A test case |
Record Nr. | UNINA-9910822523703321 |
Gzyl Henryk <1946-> | ||
Hackensack, N.J., : World Scientific, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Maximum entropy in action : a collection of expository essays / edited by Brian Buck, Vincent A. Macaulay |
Autore | Buck, Brian |
Pubbl/distr/stampa | Oxford : Clarendon Press, 1991 |
Descrizione fisica | xxvii, 220 p. : ill. ; 24 cm. |
Disciplina | 003.54 |
Altri autori (Persone) | Macaulay, Vincent A. |
Collana | Oxford science publications |
Soggetto topico |
Bayesian statistical decision theory
Maximum entropy method |
ISBN | 0198539630 |
Classificazione | AMS 94A |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991001129989707536 |
Buck, Brian | ||
Oxford : Clarendon Press, 1991 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Maximum-entropy sampling : algorithms and application / / Marcia Fampa and Jon Lee |
Autore | Fampa Marcia |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (206 pages) |
Disciplina | 519.3 |
Collana | Springer series in operations research |
Soggetto topico |
Mathematical optimization
Maximum entropy method Mathematical optimization - Methodology Optimització matemàtica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-13078-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Overview -- Notation -- Contents -- The problem and basic properties -- Differential entropy -- The MESP and the CMESP -- Hardness -- A solvable case -- The complementary problem -- Scaling -- Masks -- Submodularity -- Branch-and-bound -- The branch-and-bound algorithmic framework for MESP -- Global upper bound for early termination -- Good lower bounds -- Greedy -- Swapping -- Approximation algorithm -- The branch-and-bound algorithmic framework for CMESP -- Upper bounds -- Spectral bounds -- Unconstrained -- Constrained -- Integer linear optimization -- An ILP-based diagonal bound for CMESP -- An ILP-based partition bound for MESP -- linx bound -- Convexity of linx -- Duality for linx -- Fixing variables in linx -- Computing linx and Dlinx solutions -- Scaling for linx -- The complementary problem of linx-gamma -- Factorization bound -- The Lagrangian dual of Fact -- Duality for DFact -- Fixing variables in DDFact -- Computing DDFact and DFact solutions -- Properties of the factorization bound -- NLP bound -- Convexity of NLP -- Scaling for NLP -- Good parameters for NLPgamma -- Strategies to select parameters for NLPgamma -- Duality and the logarithmic-barrier problem for gNLP -- Fixing variables in gNLP -- The logarithmic-barrier algorithm for gNLP -- NLP-gamma in the branch-and-bound algorithm -- BQP bound -- Convexity of BQP -- Duality for BQP -- Fixing variables in BQP -- A good feasible solution of DBQP from BQP -- Scaling for BQP -- Mixing bounds -- The mixing framework -- Optimizing the mixing parameters -- Duality for mixing -- Fixing variables in mix -- A good feasible solution of Dmix from mix -- Mixing the BQPgamma bound with the complementary BQPgamma bound -- Duality for smBQP -- Fixing variables in smBQP -- A good feasible solution of DsmBQP from smBQP -- Comparison of bounds -- Environmental monitoring.
The setting -- MESP within statistics and optimal experimental design -- MESP and environmental statistics -- From raw data to covariance matrices -- An example -- Opportunities -- Developing algorithmic advances for MESP/CMESP -- Variable fixing and branch-and-bound: state of the art -- Optimizing gamma for NLPgamma -- Solvable cases of MESP and mask optimization -- OA for CMESP -- MESP/CMESP variations and cousins -- Applications -- Basic formulae and inequalities -- Preliminary miscellany -- Square matrices -- Symmetric matrices -- Positive definite and semidefinite matrices -- References -- Index. |
Record Nr. | UNINA-9910624393203321 |
Fampa Marcia | ||
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Maximum-entropy sampling : algorithms and application / / Marcia Fampa and Jon Lee |
Autore | Fampa Marcia |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (206 pages) |
Disciplina | 519.3 |
Collana | Springer series in operations research |
Soggetto topico |
Mathematical optimization
Maximum entropy method Mathematical optimization - Methodology Optimització matemàtica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-13078-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Overview -- Notation -- Contents -- The problem and basic properties -- Differential entropy -- The MESP and the CMESP -- Hardness -- A solvable case -- The complementary problem -- Scaling -- Masks -- Submodularity -- Branch-and-bound -- The branch-and-bound algorithmic framework for MESP -- Global upper bound for early termination -- Good lower bounds -- Greedy -- Swapping -- Approximation algorithm -- The branch-and-bound algorithmic framework for CMESP -- Upper bounds -- Spectral bounds -- Unconstrained -- Constrained -- Integer linear optimization -- An ILP-based diagonal bound for CMESP -- An ILP-based partition bound for MESP -- linx bound -- Convexity of linx -- Duality for linx -- Fixing variables in linx -- Computing linx and Dlinx solutions -- Scaling for linx -- The complementary problem of linx-gamma -- Factorization bound -- The Lagrangian dual of Fact -- Duality for DFact -- Fixing variables in DDFact -- Computing DDFact and DFact solutions -- Properties of the factorization bound -- NLP bound -- Convexity of NLP -- Scaling for NLP -- Good parameters for NLPgamma -- Strategies to select parameters for NLPgamma -- Duality and the logarithmic-barrier problem for gNLP -- Fixing variables in gNLP -- The logarithmic-barrier algorithm for gNLP -- NLP-gamma in the branch-and-bound algorithm -- BQP bound -- Convexity of BQP -- Duality for BQP -- Fixing variables in BQP -- A good feasible solution of DBQP from BQP -- Scaling for BQP -- Mixing bounds -- The mixing framework -- Optimizing the mixing parameters -- Duality for mixing -- Fixing variables in mix -- A good feasible solution of Dmix from mix -- Mixing the BQPgamma bound with the complementary BQPgamma bound -- Duality for smBQP -- Fixing variables in smBQP -- A good feasible solution of DsmBQP from smBQP -- Comparison of bounds -- Environmental monitoring.
The setting -- MESP within statistics and optimal experimental design -- MESP and environmental statistics -- From raw data to covariance matrices -- An example -- Opportunities -- Developing algorithmic advances for MESP/CMESP -- Variable fixing and branch-and-bound: state of the art -- Optimizing gamma for NLPgamma -- Solvable cases of MESP and mask optimization -- OA for CMESP -- MESP/CMESP variations and cousins -- Applications -- Basic formulae and inequalities -- Preliminary miscellany -- Square matrices -- Symmetric matrices -- Positive definite and semidefinite matrices -- References -- Index. |
Record Nr. | UNISA-996495167603316 |
Fampa Marcia | ||
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Modern spatiotemporal geostatistics [[electronic resource] /] / George Christakos |
Autore | Christakos George |
Pubbl/distr/stampa | Oxford [England] ; ; New York, : Oxford University Press, 2000 |
Descrizione fisica | 1 online resource (307 p.) |
Disciplina |
550.15195
550/.7/27 |
Collana | International Association for Mathematical Geology studies in mathematical geology |
Soggetto topico |
Bayesian statistical decision theory
Earth sciences - Statistical methods Maximum entropy method |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-83477-3
9786610834778 0-19-803179-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
PREFACE; TABLE OF CONTENTS; CHAPTER 1: Spatiotemporal Mapping in Natural Sciences; CHAPTER 2: Spatiotemporal Geometry; CHAPTER 3: Physical Knowledge; CHAPTER 4: The Epistemic Paradigm; CHAPTER 5: Mathematical Formulation of the BME Method; CHAPTER 6: Analytical Expressions of the Posterior Operator; CHAPTER 7: The Choice of a Spatiotemporal Estimate; CHAPTER 8: Uncertainty Assessment; CHAPTER 9: Modifications of Formal BME Analysis; CHAPTER 10: Single-Point Analytical Formulations; CHAPTER 11: Multipoint Analytical Formulations
CHAPTER 12: Popular Methods in the Light of Modern Spatiotemporal GeostatisticsCHAPTER 13: A Call Not to Arms but to Research; BIBLIOGRAPHY; INDEX |
Record Nr. | UNINA-9910453620103321 |
Christakos George | ||
Oxford [England] ; ; New York, : Oxford University Press, 2000 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|