03991nam 22006855 450 99621365160331620210609091345.03-319-10064-510.1007/978-3-319-10064-7(CKB)3710000000269633(SSID)ssj0001372801(PQKBManifestationID)11798063(PQKBTitleCode)TC0001372801(PQKBWorkID)11304646(PQKB)11318036(DE-He213)978-3-319-10064-7(MiAaPQ)EBC5592634(PPN)182097455(EXLCZ)99371000000026963320141024d2015 u| 0engurnn#008mamaatxtccrStochastic Geometry, Spatial Statistics and Random Fields[electronic resource] Models and Algorithms /edited by Volker Schmidt1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (XXIV, 464 p. 133 illus., 63 illus. in color.)Lecture Notes in Mathematics,0075-8434 ;2120Bibliographic Level Mode of Issuance: Monograph3-319-10063-7 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.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 issues of stochastic geometry, spatial statistics and random fields were considered, with a focus on asymptotic methods.Lecture Notes in Mathematics,0075-8434 ;2120ProbabilitiesMathematical modelsAlgorithmsGeometryProbability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Algorithmshttps://scigraph.springernature.com/ontologies/product-market-codes/M14018Geometryhttps://scigraph.springernature.com/ontologies/product-market-codes/M21006Probabilities.Mathematical models.Algorithms.Geometry.Probability Theory and Stochastic Processes.Mathematical Modeling and Industrial Mathematics.Algorithms.Geometry.519.2Schmidt Volkeredthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996213651603316Stochastic geometry, spatial statistics and random fields836596UNISA