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| 001 | 978-3-319-10064-7 | ||
| 003 | DE-He213 | ||
| 005 | 20210120150115.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 141024s2015 gw | s |||| 0|eng d | ||
| 020 |
_a9783319100647 _9978-3-319-10064-7 |
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| 024 | 7 |
_a10.1007/978-3-319-10064-7 _2doi |
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| 050 | 4 | _aQA273.A1-274.9 | |
| 050 | 4 | _aQA274-274.9 | |
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_a519.2 _223 |
| 245 | 1 | 0 |
_aStochastic Geometry, Spatial Statistics and Random Fields _h[electronic resource] : _bModels and Algorithms / _cedited by Volker Schmidt. |
| 250 | _a1st ed. 2015. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
| 300 |
_aXXIV, 464 p. 133 illus., 63 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Mathematics, _x0075-8434 ; _v2120 |
|
| 505 | 0 | _aStein’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. | |
| 520 | _aProviding 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. | ||
| 650 | 0 | _aProbabilities. | |
| 650 | 0 | _aMathematical models. | |
| 650 | 0 | _aAlgorithms. | |
| 650 | 0 | _aGeometry. | |
| 650 | 1 | 4 |
_aProbability Theory and Stochastic Processes. _0https://scigraph.springernature.com/ontologies/product-market-codes/M27004 |
| 650 | 2 | 4 |
_aMathematical Modeling and Industrial Mathematics. _0https://scigraph.springernature.com/ontologies/product-market-codes/M14068 |
| 650 | 2 | 4 |
_aAlgorithms. _0https://scigraph.springernature.com/ontologies/product-market-codes/M14018 |
| 650 | 2 | 4 |
_aGeometry. _0https://scigraph.springernature.com/ontologies/product-market-codes/M21006 |
| 700 | 1 |
_aSchmidt, Volker. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783319100654 |
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_iPrinted edition: _z9783319100630 |
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_aLecture Notes in Mathematics, _x0075-8434 ; _v2120 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-10064-7 |
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