Books on the topic 'Combinatorial statistics'

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1

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

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2

Hubert, Lawrence J. Assignment methods in combinatorial data analysis. New York: M. Dekker, 1987.

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3

1956-, Balakrishnan N., ed. Advances in combinatorial methods and applications to probability and statistics. Boston: Birkhäuser, 1997.

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4

Balakrishnan, N., ed. Advances in Combinatorial Methods and Applications to Probability and Statistics. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4140-9.

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5

L, Aarts E. H., and Lenstra J. K, eds. Local search in combinatorial optimization. Chichester [England]: Wiley, 1997.

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6

Bapat, Ravindra B. Combinatorial Matrix Theory and Generalized Inverses of Matrices. India: Springer India, 2013.

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7

Martin, George E. Counting: The Art of Enumerative Combinatorics. New York, NY: Springer New York, 2001.

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8

Wright, Tommy. Exact confidence bounds when sampling from small finite universes: An easy reference based on the hypergeometric distribution. Berlin: Springer-Verlag, 1991.

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9

Barthélemy, Jean-Pierre. Trees and proximity representations. Chichester: Wiley, 1991.

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10

Ionin, Yuri. Combinatorics of symmetric designs. Cambridge, UK: Cambridge University Press, 2006.

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11

International Conference on Statistics, Combinatorics and Related Areas (2001 University of Wollongong). Advances in statistics, combinatorics and related areas: Selected papers from the SCRA2001-FIM VIII, Wollo[n]gong conference, University of Wollongong, Australia, 19-21 December 2001. Edited by Gulati Chandra and Forum for Interdisciplinary Mathematics. International Conference. River Edge, N.J: World Scientific, 2002.

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12

Trotter, William T. Combinatorics And Partially Ordered Sets: Dimension Theory. Baltimore, Maryland, USA: The Johns Hopkins University Press, 1992.

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13

Borovkov, K. A. Russian - English, English - Russian dictionary on probability, statistics, and combinatorics. Philadelphia: Society for Industrial and Applied Mathematics, 1994.

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14

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

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15

Street, Deborah J. The construction of optimal stated choice experiments: Theory and methods. New York: Wiley, 2007.

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16

Street, Deborah J. The construction of optimal stated choice experiments: Theory and methods. New York: Wiley, 2007.

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17

Street, Deborah J. The construction of optimal stated choice experiments: Theory and methods. New York: Wiley, 2007.

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18

Balakrishnan, N. Runs and scans with applications. New York: J. Wiley, 2002.

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19

Caliński, T. Block designs: A randomization approach. New York: Springer, 2000.

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20

Schmidt, Kai-Uwe, and Arne Winterhof, eds. Combinatorics And Finite Fields: Difference Sets, Polynomials, Pseudorandomness And Applications. Boston, USA: De Gruyter, 2019.

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21

Graham, Ronald L. The Mathematics of Paul Erdös II. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997.

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22

Constantine, Gregory M. Combinatorial theory and statistical design. New York: Wiley, 1987.

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23

Hao, Jin-Kao. Evolutionary Computation in Combinatorial Optimization: 12th European Conference, EvoCOP 2012, Málaga, Spain, April 11-13, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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24

Wallis, W. D. A beginner's guide to discrete mathematics. 2nd ed. New York: Birkhäuser, 2012.

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25

Paliy, Irina. Probability theory and mathematical statistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1065828.

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The tutorial is an introductory course in probability theory and mathematical statistics. Elements of combinatorics, basic concepts and theorems of probability theory, discrete random variables, continuous random variables, some limit theorems, one-dimensional and two-dimensional samples, point and interval estimation of parameters of the general population, testing of statistical hypotheses, elements of queuing theory are considered. The presentation of the theoretical material is accompanied by a large number of detailed examples of problem solving. For students of technical and economic fields of study and specialties, studying under the bachelor's and specialty programs.
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26

Paliy, Irina, V. A. Dalinger, and B. S. Dobronec. Probability theory and mathematical statistics. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1859126.

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The textbook is an introductory course in probability theory and mathematical statistics. Elements of combinatorics, basic concepts and theorems of probability theory, discrete random variables, continuous random variables, some limit theorems, one-dimensional and two-dimensional samples, point and interval estimation of the parameters of the general population, verification of statistical hypotheses, elements of queuing theory are considered. The presentation of the theoretical material is accompanied by a large number of detailed examples of problem solving. For students of technical and economic areas of training and specialties, studying under bachelor's and specialty programs.
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27

Lerman, Israël César, and Henri Leredde. Seriation in Combinatorial and Statistical Data Analysis. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92694-6.

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28

Jonas, Mockus, ed. Bayesian heuristic approach to discrete and global optimization: Algorithms, visualization, software, and applications. Dordrecht: Kluwer Academic Publishers, 1997.

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29

Constantine, Gregory M. Combinational theory and statistical design. New York: Wiley, 1987.

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30

Chen, Tuhao. Multivariate Bonferroni-type inequalities: Theory and applications. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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31

Japan) RIMS Camp-style Seminar "Algebraic combinatorics related to Young diagram and statistical physics" (2012 August 6-10 Kizugawa-shi. Algebraic combinatorics related to Young diagram and statistical physics: August 6-10, 2012. Kyoto, Japan: Kyōto Daigaku Sūri Kaiseki Kenkyūjo, 2014.

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32

Gupta, Anupam. Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques: 15th International Workshop, APPROX 2012, and 16th International Workshop, RANDOM 2012, Cambridge, MA, USA, August 15-17, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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33

Aoki, Masanao. Reconstructing macroeconomics: A perspective from statistical physics and combinatorial stochastic processes. Cambridge: Cambridge University Press, 2007.

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34

Lerman, Israël César. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-6793-8.

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35

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

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36

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

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37

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

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38

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

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39

Balakrishnan, N. Advances in Combinatorial Methods in Probability & Statistics (Statistics for Industry and Technology). Birkhauser, 1997.

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40

Brusco, Michael J., and Stephanie Stahl. Branch-and-Bound Applications in Combinatorial Data Analysis (Statistics and Computing). Springer New York, 2006.

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41

BranchAndBound Applications in Combinatorial Data Analysis Statistics and Computing. Springer, 2010.

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42

Balakrishnan, N. Advances to Combinatorial Methods and Applications to Probability and Statistics (Statistics for Industry & Technology). Birkhauser Verlag AG, 1997.

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43

Balakrishnan, N. Advances in Combinatorial Methods and Applications to Probability and Statistics. Birkhauser Verlag, 2012.

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44

Balakrishnan, N. Advances in Combinatorial Methods and Applications to Probability and Statistics. Birkhäuser, 2011.

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45

Kirkland, Stephen James, Simo Puntanen, Ravindra B. Bapat, and K. Manjunatha Prasad. Combinatorial Matrix Theory and Generalized Inverses of Matrices. Springer, 2013.

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46

Kirkland, Stephen James, Simo Puntanen, Ravindra B. Bapat, and K. Manjunatha Prasad. Combinatorial Matrix Theory and Generalized Inverses of Matrices. Ingramcontent, 2015.

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47

Wright, Tommy. Exact Confidence Bounds When Sampling from Small Finite Universes: An Easy Reference Based on the Hypergeometric Distribution. Springer London, Limited, 2012.

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48

Wright, Tommy. Exact Confidence Bounds when Sampling from Small Finite Universes: An Easy Reference Based on the Hypergeometric Distribution. Springer, 2011.

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49

Ionin, Yury J., and Mohan S. Shrikhande. Combinatorics of Symmetric Designs. Cambridge University Press, 2006.

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50

Ionin, Yury J., and Mohan S. Shrikhande. Combinatorics of Symmetric Designs. Cambridge University Press, 2006.

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