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[null,"1.","Record Nr.",null,"UNISALENTO991002944419707536"]
[null,null,"Titolo",null,"Stochastic geometry, spatial statistics and random fields : models and algorithms / edited by Volker Schmidt"]
[null,null,"Pubbl/distr/stampa",null,"Cham [Switzerland] : Springer International Publishing, c2015"]
[null,null,"ISBN",null,"9783319100630"]
[null,null,"Descrizione fisica",null,"xxiv, 464 p. : ill. ; 24 cm"]
[null,null,"Collana",null,"Lecture notes in mathematics, 0075-8434 ; 2120"]
[null,null,"Classificazione",null,"AMS 60-06"]
[{"$nulls":4},"AMS 60D05"]
[{"$nulls":4},"AMS 60G60"]
[{"$nulls":4},"AMS 62H11"]
[{"$nulls":4},"LC QA274-274.9"]
[null,null,"Disciplina",null,"519.2"]
[null,null,"Soggetti",null,"Algorithms"]
[{"$nulls":4},"Geometry"]
[{"$nulls":4},"Distribution (Probability theory)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index"]
[null,null,"Nota di contenuto",null,"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"]
[null,null,null,"Sommario/riassunto","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 extensive codes in Matlab and R, which are widely used in the mathematical community. It can be regarded as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other "]
[{"$nulls":4},"issues of stochastic geometry, spatial statistics and random fields were considered, with a focus on asymptotic methods"]