Libri sul tema "Geometrisk statistik"
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Fang, Kʻai-tʻai. Number-theoretic methods in statistics. London: Chapman & Hall, 1994.
Pawlowsky-Glahn, Vera. Modelling and analysis of compositional data. Chichester, West Sussex: John Wiley & Sons, Inc., 2015.
Roux, Brigitte Le. Combinatorial Inference in Geometric Data Analysis. Boca Raton, Florida, USA: Chapman and Hall/CRC, Taylor & Francis Group, 2019.
V, Buldygin V., e Kharazishvili A. B, a cura di. Geometric aspects of probability theory and mathematical statistics. Dordrecht: Kluwer Academic, 2000.
Stoyan, Dietrich. Fractals, random shapes, and point fields: Methods of geometrical statistics. Chichester: Wiley, 1994.
1911-, Ledermann Walter, e Vajda Steven 1901-, a cura di. Handbook of applicable mathematics. Chichester: Wiley, 1985.
Stoyan, Dietrich. Stochastic geometry and its applications. Chichester [W. Sussex]: Wiley, 1987.
Stoyan, Dietrich. Stochastic geometry and its applications. 2a ed. Chichester: Wiley, 1995.
Mauldin, R. Daniel. Graph directed Markov systems: Geometry and dynamics of limit sets. Cambridge: Cambridge University Press, 2003.
Flewelling, Gary. Math activities using LogoWriter: Probability and statistics. International Society for Technology in Education, 1994.
Roux, Brigitte Le, Solène Bienaise e Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.
Roux, Brigitte Le, Solène Bienaise e Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.
Kharazishvili, A. B., e V. V. Buldygin. Geometric Aspects of Probability Theory and Mathematical Statistics. Springer, 2013.
Kharazishvili, A. B., e V. V. Buldygin. Geometric Aspects of Probability Theory and Mathematical Statistics. Springer London, Limited, 2010.
Kanatani, Kenichi. Statistical Optimization for Geometric Computation: Theory and Practice. Dover Publications, 2005.
Kanatani, Kenichi. Statistical Optimization for Geometric Computation: Theory and Practice. Dover Publications, Incorporated, 2011.
Grenander, Ulf, e Michael I. Miller. Pattern Theory. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198505709.001.0001.
Kharazishvili, A. B., e V. V. Buldygin. Geometric Aspects of Probability Theory and Mathematical Statistics (MATHEMATICS AND ITS APPLICATIONS Volume 514) (Mathematics and Its Applications). Springer, 2000.
Boots, Barry, Kokichi Sugihara, Sung Nok Chiu e Atsuyuki Okabe. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams (Wiley Series in Probability and Statistics). 2a ed. Wiley, 2000.
Roux, Brigitte Le, Solène Bienaise e Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.
Roux, Brigitte Le, Solène Bienaise e Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2021.
Ledermann, Walter. Combinatorics and Geometry (Handbook of Applicable Mathematics). John Wiley & Sons Inc, 1985.
Ledermann, Walter. Combinatorics and Geometry (Handbook of Applicable Mathematics). John Wiley & Sons Inc, 1985.
Nguyen, Hung T. An Introduction to Random Sets. Chapman & Hall/CRC, 2006.
Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.
Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.
Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.
Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.
Kendall, Wilfrid S., Joseph Mecke e Dietrich Stoyan. Stochastic Geometry and Its Applications, 2nd Edition. 2a ed. Wiley, 1996.
Mecke, Joseph, e Dietrich Stoyan. Stochastische Geometrie. de Gruyter GmbH, Walter, 2022.
Mecke, Joseph, e Dietrich Stoyan. Stochastische Geometrie: Eine Einführung. de Gruyter GmbH, Walter, 2022.