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2013, ISBN: 9781119243069
Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the late… Altro …
ISBN: 9781119243069
A digital copy of "Statistics For Spatio-temporal Data" by Cressie. Download is immediately available upon purchase! 9781119243069,1119243068,statistics,spatio-temporal,data eBook, Vital… Altro …
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ISBN: 9781119243069
Wiley Probability & Statistics spatio-temporal statistics, spatial statistics, hierarchical statistical model, Bayesian statistics, dynamical model, dimension reduction, geography, spatia… Altro …
ISBN: 9781119243069
*Statistics for Spatio-Temporal Data* / epub eBook für 80.99 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als epub eBooks > Fachthemen & W… Altro …
ISBN: 9781119243069
; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Taylor and Francis
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Informazioni dettagliate del libro - Statistics for Spatio-Temporal Data
EAN (ISBN-13): 9781119243069
Anno di pubblicazione: 11
Editore: John Wiley & Sons
Libro nella banca dati dal 2015-11-19T18:19:20+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-02-16T14:11:21+01:00 (Zurich)
ISBN/EAN: 9781119243069
ISBN - Stili di scrittura alternativi:
978-1-119-24306-9
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : american art association, christopher small
Dati dell'editore
Autore: Noel Cressie; Christopher K. Wikle
Titolo: Statistics for Spatio-Temporal Data
Editore: Wiley; John Wiley & Sons
512 Pagine
Anno di pubblicazione: 2015-11-02
Lingua: Inglese
78,99 € (DE)
Not available (reason unspecified)
EA; E101; E-Book; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Biometrics; Biometrie; Environmental Science; Environmental Studies; Spezialthemen Statistik; Statistics; Statistics Special Topics; Statistik; Umweltforschung; Umweltwissenschaften; Umweltwissenschaften; Biometrie; Spezialthemen Statistik; BB
Preface xv Acknowledgments xix 1 Space-Time: The Next Frontier 1 2 Statistical Preliminaries 17 2.1 Conditional Probabilities and Hierarchical Modeling (HM),20 2.2 Inference and Diagnostics, 33 2.3 Computation of the Posterior Distribution, 42 2.4 Graphical Representations of Statistical Dependencies,48 2.5 Data/Model/Computing Compromises, 53 3 Fundamentals of Temporal Processes 55 3.1 Characterization of Temporal Processes, 56 3.2 Introduction to Deterministic Dynamical Systems, 59 3.3 Time Series Preliminaries, 80 3.4 Basic Time Series Models, 84 3.5 Spectral Representation of Temporal Processes, 100 3.6 Hierarchical Modeling of Time Series, 112 3.7 Bibliographic Notes, 116 4 Fundamentals of Spatial Random Processes 119 4.1 Geostatistical Processes, 124 4.2 Lattice Processes, 167 4.3 Spatial Point Processes, 204 4.4 Random Sets, 224 4.5 Bibliographic Notes, 231 5 Exploratory Methods for Spatio-Temporal Data 243 5.1 Visualization, 244 5.2 Spectral Analysis, 259 5.3 Empirical Orthogonal Function (EOF) Analysis, 266 5.4 Extensions of EOF Analysis, 271 5.5 Principal Oscillation Patterns (POPs), 279 5.6 Spatio-Temporal Canonical Correlation Analysis (CCA),284 5.7 Spatio-Temporal Field Comparisons, 291 5.8 Bibliographic Notes, 292 6 Spatio-Temporal Statistical Models 297 6.1 Spatio-Temporal Covariance Functions, 304 6.2 Spatio-Temporal Kriging, 321 6.3 Stochastic Differential and Difference Equations, 327 6.4 Time Series of Spatial Processes, 336 6.5 Spatio-Temporal Point Processes, 347 6.6 Spatio-Temporal Components-of-Variation Models, 351 6.7 Bibliographic Notes, 356 7 Hierarchical Dynamical Spatio-Temporal Models 361 7.1 Data Models for the DSTM, 363 7.2 Process Models for the DSTM: Linear Models, 382 7.3 Process Models for the DSTM: Nonlinear Models, 403 7.4 Process Models for the DSTM: Multivariate Models, 418 7.5 DSTM Parameter Models, 425 7.6 Dynamical Design of Monitoring Networks, 430 7.7 Switching the Emphasis of Time and Space, 432 7.8 Bibliographic Notes, 433 8 Hierarchical DSTMs: Implementation and Inference441 8.1 DSTM Process: General Implementation and Inference, 441 8.2 Inference for the DSTM Process: Linear/Gaussian Models,444 8.3 Inference for the DSTM Parameters: Linear/Gaussian Models,450 8.4 Inference for the Hierarchical DSTM: Nonlinear/Non-GaussianModels, 460 8.5 Bibliographic Notes, 472 9 Hierarchical DSTMs: Examples 475 9.1 Long-Lead Forecasting of Tropical Pacific Sea SurfaceTemperatures, 476 9.2 Remotely Sensed Aerosol Optical Depth, 488 9.3 Modeling and Forecasting the Eurasian Collared DoveInvasion, 499 9.4 Mediterranean Surface Vector Winds, 507 Epilogue 519 References 523 Index 571Altri libri che potrebbero essere simili a questo:
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9780471692744 Statistics for Spatio-Temporal Data by Noel Cressie Hardcover | Indigo Chapters (Cressie, Noel, Wikle, Christopher K.)
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