Книги з теми "Geometric statistics"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 книг для дослідження на тему "Geometric statistics".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте книги для різних дисциплін та оформлюйте правильно вашу бібліографію.
Gibilisco, Paolo, Eva Riccomagno, Maria Piera Rogantin, and Henry P. Wynn, eds. Algebraic and Geometric Methods in Statistics. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9780511642401.
Calin, Ovidiu, and 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., and Kharazishvili A. B, eds. Geometric aspects of probability theory and mathematical statistics. Dordrecht: Kluwer Academic, 2000.
Buldygin, V. V., and 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. 3rd ed. New York: Springer, 1997.
Saville, David J., and 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, and Frank Nielsen, eds. 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., and 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. 2nd ed. Berlin: Springer-Verlag, 1990.
1911-, Ledermann Walter, and Vajda Steven 1901-, eds. Handbook of applicable mathematics. Chichester: Wiley, 1985.
Small, Christopher G. The statistical theory of shape. New York: Springer, 1996.
Calin, Ovidiu, and Constantin Udrişte. Geometric Modeling in Probability and Statistics. Springer, 2016.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco, and Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2009.
Calin, Ovidiu, and Constantin Udrişte. Geometric Modeling in Probability and Statistics. Springer, 2014.
Udrişte, Constantin, and Ovidiu Calin. Geometric Modeling in Probability and Statistics. Springer London, Limited, 2014.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco, and Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2010.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco, and Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2009.
Wynn, Henry P., Eva Riccomagno, Paolo Gibilisco, and Maria Piera Rogantin. Algebraic and Geometric Methods in Statistics. Cambridge University Press, 2009.
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.
Roux, Brigitte Le, and 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, and Xavier Pennec. Riemannian Geometric Statistics in Medical Image Analysis. Elsevier Science & Technology, 2019.
Sommer, Stefan, Tom Fletcher, and Xavier Pennec. Riemannian Geometric Statistics in Medical Image Analysis. Elsevier Science & Technology Books, 2019.
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.
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.