Libri sul tema "Geometric statistics"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 libri per l'attività di ricerca sul tema "Geometric statistics".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi i libri di molte aree scientifiche e compila una bibliografia corretta.
Gibilisco, Paolo, Eva Riccomagno, Maria Piera Rogantin e Henry P. Wynn, a cura di. Algebraic and Geometric Methods in Statistics. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9780511642401.
Calin, Ovidiu, e Constantin Udrişte. Geometric Modeling in Probability and Statistics. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07779-6.
Gibilisco, Paolo. Algebraic and geometric methods in statistics. Cambridge: Cambridge University Press, 2010.
Roux, Brigitte Le. Combinatorial Inference in Geometric Data Analysis. Boca Raton, Florida, USA: Chapman and Hall/CRC, Taylor & Francis Group, 2019.
Kiêu, Kiên. Three lectures on systematic geometric sampling. Aarhus [Denmark]: Dept. of Theoretical Statistics, 1997.
V, Buldygin V., e Kharazishvili A. B, a cura di. Geometric aspects of probability theory and mathematical statistics. Dordrecht: Kluwer Academic, 2000.
Buldygin, V. V., e A. B. Kharazishvili. Geometric Aspects of Probability Theory and Mathematical Statistics. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-1687-1.
NATO Advanced Study on Propagation of Correlations in Constrained Systems (1990 Cargèse, France). Correlations and connectivity: Geometric aspects of physics, chemistry, and biology. Dordrecht: Kluwer Academic Publishers, 1990.
Kanatani, Kenʼichi. Statistical optimization for geometric computation: Theory and practice. Amsterdam: Elsevier, 1996.
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.
Bolti͡anskiĭ, V. G. Geometric methods and optimization problems. Dordrecht: Kluwer Academic Publishers, 1999.
Stone, Mervyn. Coordinate-free multivariable statistics: An illustrated geometric progression from Halmos to Gauss and Bayes. Oxford: Clarendon Press, 1987.
Wang, Jianzhong. Geometric Structure of High-Dimensional Data and Dimensionality Reduction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.
Balkema, Guus. High Risk Scenarios and Extremes: A geometric approach. Zuerich, Switzerland: European Mathematical Society Publishing House, 2007.
Saville, David J. Statistical methods: The geometric approach. 3a ed. New York: Springer, 1997.
Saville, David J., e Graham R. Wood. Statistical Methods: The Geometric Approach. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-0971-3.
Saville, David J. Statistical methods: A geometric primer. New York: Springer, 1996.
Saville, David J. Statistical methods: The geometric approach. New York: Springer-Verlag, 1991.
Smoothey, Marion. Statistics. New York: Marshall Cavendish, 1993.
Murray, M. K. Differential geometry and statistics. London: Chapman & Hall, 1993.
Barbaresco, Frédéric, e Frank Nielsen, a cura di. Geometric Structures of Statistical Physics, Information Geometry, and Learning. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77957-3.
Amari, Shun'ichi. Differential-geometrical methods in statistics. Berlin: Springer-Verlag, 1985.
Omohundro, Stephen M. Geometric perturbation theory in physics. Singapore: World Scientific, 1986.
Kulhavý, Rudolf. Recursive nonlinear estimation: A geometric approach. Berlin: Springer, 1996.
Stoyan, Dietrich. Fractals, random shapes, and point fields: Methods of geometrical statistics. Chichester: Wiley, 1994.
Schmidt, Stanley F. Life of fred: Statistics. Reno, NV: Polka Dot Pub., 2005.
Dryden, I. L., e J. T. Kent. Geometry driven statistics. Chichester, West Sussex: John Wiley & Sons, Inc., 2015.
Ambjørn, Jan. Quantum geometry: A statistical field theory approach. Cambridge: Cambridge University Press, 1997.
Amari, Shunʼichi. Differential-geometrical methods in statistics. 2a ed. Berlin: Springer-Verlag, 1990.
1911-, Ledermann Walter, e Vajda Steven 1901-, a cura di. Handbook of applicable mathematics. Chichester: Wiley, 1985.
Small, Christopher G. The statistical theory of shape. New York: Springer, 1996.
Calin, Ovidiu, e Constantin Udrişte. Geometric Modeling in Probability and Statistics. Springer, 2016.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco e Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2009.
Calin, Ovidiu, e Constantin Udrişte. Geometric Modeling in Probability and Statistics. Springer, 2014.
Udrişte, Constantin, e Ovidiu Calin. Geometric Modeling in Probability and Statistics. Springer London, Limited, 2014.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco e Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2010.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco e Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2009.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco e Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2009.
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.
Roux, Brigitte Le, e Henry Rouanet. Geometric Data Analysis. Springer, 2008.
Riemannian Geometric Statistics in Medical Image Analysis. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-01561-6.
Sommer, Stefan, Tom Fletcher e Xavier Pennec. Riemannian Geometric Statistics in Medical Image Analysis. Elsevier Science & Technology, 2019.
Sommer, Stefan, Tom Fletcher e Xavier Pennec. Riemannian Geometric Statistics in Medical Image Analysis. Elsevier Science & Technology Books, 2019.
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.
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.