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Record Nr. |
UNISALENTO991002944419707536 |
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Titolo |
Stochastic geometry, spatial statistics and random fields : models and algorithms / edited by Volker Schmidt |
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Pubbl/distr/stampa |
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Cham [Switzerland] : Springer International Publishing, c2015 |
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ISBN |
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Descrizione fisica |
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xxiv, 464 p. : ill. ; 24 cm |
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Collana |
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Lecture notes in mathematics, 0075-8434 ; 2120 |
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Classificazione |
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AMS 60-06 |
AMS 60D05 |
AMS 60G60 |
AMS 62H11 |
LC QA274-274.9 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Algorithms |
Geometry |
Distribution (Probability theory) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index |
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Nota di contenuto |
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Stein’s Method for Approximating Complex Distributions, with a View towards Point Processes -- Clustering Comparison of Point Processes, with Applications to Random Geometric Models -- Random Tessellations and their Application to the Modelling of Cellular Materials -- Stochastic 3D Models for the Micro-structure of Advanced Functional Materials -- Boolean Random Functions -- Random Marked Sets and Dimension Reduction -- Space-Time Models in Stochastic Geometry -- Rotational Integral Geometry and Local Stereology - with a View to Image Analysis -- An Introduction to Functional Data Analysis -- Some Statistical Methods in Genetics -- Extrapolation of Stationary Random Fields -- Spatial Process Simulation -- Introduction to Coupling-from-the-Past using R -- References -- Index |
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Sommario/riassunto |
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Providing a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, this volume places a special emphasis on fundamental classes of models and algorithms as well as on their applications, for example in materials science, biology and genetics. This book has a strong focus on simulations and includes |
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