Книги з теми "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., and Kharazishvili A. B, eds. 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, and Vajda Steven 1901-, eds. 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. 2nd 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, and Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.
Roux, Brigitte Le, Solène Bienaise, and Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.
Kharazishvili, A. B., and V. V. Buldygin. Geometric Aspects of Probability Theory and Mathematical Statistics. Springer, 2013.
Kharazishvili, A. B., and 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, and Michael I. Miller. Pattern Theory. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198505709.001.0001.
Kharazishvili, A. B., and 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, and Atsuyuki Okabe. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams (Wiley Series in Probability and Statistics). 2nd ed. Wiley, 2000.
Roux, Brigitte Le, Solène Bienaise, and Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.
Roux, Brigitte Le, Solène Bienaise, and 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, and Dietrich Stoyan. Stochastic Geometry and Its Applications, 2nd Edition. 2nd ed. Wiley, 1996.
Mecke, Joseph, and Dietrich Stoyan. Stochastische Geometrie. de Gruyter GmbH, Walter, 2022.
Mecke, Joseph, and Dietrich Stoyan. Stochastische Geometrie: Eine Einführung. de Gruyter GmbH, Walter, 2022.