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Books on the topic 'Geometrisk statistik'

Author: Grafiati

Published: 22 June 2024

Last updated: 19 July 2025

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1

Fang, Kʻai-tʻai. Number-theoretic methods in statistics. Chapman & Hall, 1994.

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2

Pawlowsky-Glahn, Vera. Modelling and analysis of compositional data. John Wiley & Sons, Inc., 2015.

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3

V, Buldygin V., and Kharazishvili A. B, eds. Geometric aspects of probability theory and mathematical statistics. Kluwer Academic, 2000.

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4

Stoyan, Dietrich. Fractals, random shapes, and point fields: Methods of geometrical statistics. Wiley, 1994.

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5

Roux, Brigitte Le. Combinatorial Inference in Geometric Data Analysis. Chapman and Hall/CRC, Taylor & Francis Group, 2019.

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6

1911-, Ledermann Walter, and Vajda Steven 1901-, eds. Handbook of applicable mathematics. Wiley, 1985.

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7

service), SpringerLink (Online, ed. Perspectives on Projective Geometry: A Guided Tour Through Real and Complex Geometry. Springer-Verlag Berlin Heidelberg, 2011.

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8

Stoyan, Dietrich. Stochastic geometry and its applications. 2nd ed. Wiley, 1995.

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9

Flewelling, Gary. Math activities using LogoWriter: Probability and statistics. International Society for Technology in Education, 1994.

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10

Kelenc, Aleksander. Zbirka rešenih izpitnih nalog pri predmetu Verjetnost. Univerza v Mariboru, Univerzitetna založba, 2025. https://doi.org/10.18690/um.feri.3.2025.

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Pričujoča zbirka rešenih izpitnih nalog je namenjena predvsem študentom 3. letnika univerzitetnih študijskih programov Elektrotehnika ter Računalništvo in informacijske tehnologije na UM FERI, kjer se predmet Verjetnost izvaja kot izbirni. Kljub temu bo zbirka koristna tudi drugim študentom, ki se v okviru študija srečujejo s koncepti verjetnosti. Prvo poglavje zbirke vsebuje pretekle izpitne naloge, drugo pa njihove rešitve ter izbrane postopke, ki vodijo do teh rešitev. Za uspešno reševanje nalog je potrebno vsaj osnovno znanje kombinatorike in verjetnosti. V zbirki so obravnavane teme, kot

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11

Roux, Brigitte Le, Solène Bienaise, and Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.

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12

Roux, Brigitte Le, Solène Bienaise, and Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.

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13

Kharazishvili, A. B., and V. V. Buldygin. Geometric Aspects of Probability Theory and Mathematical Statistics. Springer, 2013.

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14

Kharazishvili, A. B., and V. V. Buldygin. Geometric Aspects of Probability Theory and Mathematical Statistics. Springer London, Limited, 2010.

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15

Kanatani, Kenichi. Statistical Optimization for Geometric Computation: Theory and Practice. Dover Publications, 2005.

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16

Kanatani, Kenichi. Statistical Optimization for Geometric Computation: Theory and Practice. Dover Publications, Incorporated, 2011.

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17

Schorn, Peter. Robust algorithms in a program library for geometic computation. 1991.

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18

Grenander, Ulf, and Michael I. Miller. Pattern Theory. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198505709.001.0001.

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Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short ov

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19

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.

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20

Spatial Tessellations: Concepts and Applications of Voronoi Diagrams (Wiley Series in Probability and Statistics). 2nd ed. Wiley, 2000.

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21

Roux, Brigitte Le, Solène Bienaise, and Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2019.

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22

Roux, Brigitte Le, Solène Bienaise, and Jean-Luc Durand. Combinatorial Inference in Geometric Data Analysis. Taylor & Francis Group, 2021.

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23

Ledermann, Walter. Combinatorics and Geometry (Handbook of Applicable Mathematics). John Wiley & Sons Inc, 1985.

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24

An Introduction to Random Sets. Chapman & Hall/CRC, 2006.

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25

Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.

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26

Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.

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27

Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.

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28

Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.

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29

Woyczynski, Wojbor A. Geometry and Martingales in Banach Spaces. Taylor & Francis Group, 2018.

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30

Kendall, Wilfrid S., Joseph Mecke, and Dietrich Stoyan. Stochastic Geometry and Its Applications, 2nd Edition. 2nd ed. Wiley, 1996.

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31

Mecke, Joseph, and Dietrich Stoyan. Stochastische Geometrie. de Gruyter GmbH, Walter, 2022.

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32

Mecke, Joseph, and Dietrich Stoyan. Stochastische Geometrie: Eine Einführung. de Gruyter GmbH, Walter, 2022.

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