TY - BOOK ID - 1437645 TI - Multivariate geostatistics : an introduction with applications PY - 2003 SN - 3540441425 9783540441427 3642079113 3662052946 PB - Berlin : Springer, DB - UniCat KW - Geology. Earth sciences KW - Mathematical statistics KW - Geology KW - Multivariate analysis KW - Géologie KW - Analyse multivariée KW - Statistical methods KW - Méthodes statistiques KW - 55:519.2 KW - 519.237 KW - -Multivariate analysis KW - anamorfose KW - anisotropie KW - covariante functie KW - gauss KW - geostatistiek KW - kansrekening KW - lineaire regressie KW - Multivariate distributions KW - Multivariate statistical analysis KW - Statistical analysis, Multivariate KW - Analysis of variance KW - Matrices KW - Geognosy KW - Geoscience KW - Earth sciences KW - Natural history KW - Earth sciences. Geology. Meteorology etc.-:-Probability. Mathematical statistics KW - Multivariate statistical methods KW - Multivariate analysis. KW - Statistical methods. KW - 519.237 Multivariate statistical methods KW - 55:519.2 Earth sciences. Geology. Meteorology etc.-:-Probability. Mathematical statistics KW - Geology. KW - Earth sciences. KW - Statistics . KW - Earth Sciences, general. KW - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. KW - Statistical analysis KW - Statistical data KW - Statistical science KW - Mathematics KW - Econometrics KW - Geosciences KW - Environmental sciences KW - Physical sciences UR - https://www.unicat.be/uniCat?func=search&query=sysid:1437645 AB - The third edition of this very successful text book provides an introduction to geostatistics stressing the multivariate aspects for scientists, engineers or statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. This book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of three methods of multivariate analysis. Moreover, it contains an advanced presentation of linear models for mulitvariate spatial or temporal data, of nonlinear models and methods for selection problems with change of support, as well as an introduction to non-stationary geostatistics with special focus on the external drift method. Applications from very different areas of science as well as exercices with solutions are provided to help convey the general ideas. ER -