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Books on the topic 'Graphical Method'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 May 2022

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1

Thoma, Jean Ulrich. Simulation by Bondgraphs: Introduction to a Graphical Method. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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2

Reeb, J. E. Using the graphical method to solve linear programs. Corvallis, Or: Oregon State University Extension Service, 1998.

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3

Sengupta, Ashis. A likelihood integrated method for exploratory graphical analysis of change point problem with directional data. Ahmedabad: Indian Institute of Management, 2006.

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4

Hsu, Tai C. Fast walking tree method via recurrence reduction for biological string alignment. [Corvallis, OR: Oregon State University, Dept. of Computer Science, 2002.

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5

Korneev, Viktor, Larisa Gagarina, and Mariya Korneeva. Visualization in scientific research. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1029660.

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The textbook describes the methods of graphical representation of the results of the calculation of physical and engineering problems, represented by specialized programs and operating system tools. The graphic capabilities of the MATLAB package, which, along with powerful calculation tools, has excellent computer graphics, are studied in detail. A number of visualization tasks are solved by computer graphics programming methods in C++. The GDI GUI functions are used from the set of system API functions that the Windows operating system provides to the user. All examples in C++ are tested in the Visual Studio 2008 project development environment. The issues of interaction between the MATLAB package and programs written in C++ in the Visual Studio environment are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students studying in the field of training "Software Engineering".

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6

Lauritzen, Steffen L. Graphical models. Oxford: Clarendon Press, 1996.

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7

Graphical models. Oxford: Clarendon Press, 2004.

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8

Rao, D. S. Prakash. Graphical methods in structural analysis. London: Sangam Books, 1997.

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9

Chambers, John McKinley. Graphical methods for data analysis. London: Chapman & Hall, 1998.

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10

S. H. C. Du Toit. Graphical exploratory data analysis. New York: Springer-Verlag, 1986.

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11

Roach, Victor D. Guides to methods of graphical representation. Port of Spain: The Office, 1987.

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12

Nelson, Michael S. Graphical methods for depicting combat units. Monterey, Calif: Naval Postgraduate School, 1992.

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13

Graphical belief modeling. London: Chapman & Hall, 1995.

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14

Hayashi, Tamio. Asymmetric synthesis: Graphical abstracts and experimental methods. Tokyo, Japan: Kodansha, 1998.

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15

Barton, Russell R. Graphical Methods for the Design of Experiments. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1398-7.

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16

David, Edwards, Lauritzen Steffen, and SpringerLink (Online service), eds. Graphical Models with R. Boston, MA: Springer US, 2012.

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17

Graphing technology guide. Lexington, Mass: D.C. Heath, 1993.

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18

Borgelt, Christian. Graphical models: Methods for data analysis and mining. 2nd ed. Hoboken, NJ: John Wiley, 2009.

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19

Cook, R. Dennis. An introduction to regression graphics. New York: Wiley, 1994.

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20

P, Talbot Richard, and Benson Russell M, eds. A guide to graphical problem-solving processes. Milwaukee, Wis: ASQC Quality Press, 1990.

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21

Mukundan, Ramakrishnan. Advanced Methods in Computer Graphics. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2340-8.

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22

Kasturi, Rangachar, and Karl Tombre, eds. Graphics Recognition Methods and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61226-2.

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23

Regression graphics: Ideas for studying regressions through graphics. New York: Wiley, 1998.

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24

Jacoby, William G. Statistical graphics for univariate and bivariate data. Thousand Oaks, Calif: Sage Publications, 1997.

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25

Nir, Friedman, ed. Probabilistic graphical models: Principles and techniques. Cambridge, MA: MIT Press, 2010.

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26

Multiprocessor methods for computer graphics rendering. Boston: Jones and Bartlett, 1992.

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27

Gower, John. Understanding biplots. Hoboken, N.J: Wiley, 2010.

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28

Wilkinson, Leland. The grammar of graphics. New York: Springer, 1999.

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29

Glock, John. Communication graphics: Laboratory activities. Austin, TX: University of Texas at Austin, Extension Instruction and Materials Center, Division of Continuing Education, 1989.

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30

Kendall, Michael S. Site design graphics. New York: Van Nostrand Reinhold, 1989.

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31

Ocagne, Maurice d'. Le calcul simplifié: Graphical and mechanical methods for simplifying calculation. Cambridge, Mass: MIT Press, 1986.

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32

Bjercke, June. Graphics calculator guide. Lexington, Mass: D.C. Heath, 1992.

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33

Man, Method. Method Man. New York: Grand Central Publishing, 2008.

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34

Presentation graphics for engineering, science, and business. London: E & FN Spon, 1992.

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35

Matthias, Steinbrecher, and Kruse Rudolf, eds. Graphical models: Representations for learning, reasoning and data mining. 2nd ed. Chichester, West Sussex, UK: John Wiley, 2009.

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36

Jones, Gerald E. How to lie with charts. San Francisco: Sybex, 1995.

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37

Falcidieno, Bianca. Modeling in Computer Graphics: Methods and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

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38

StatView: The ultimate integrated data analysis and presentation system. 4th ed. Berkeley, CA: Abacus Concepts, 1992.

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39

Thoma, Jean U. Simulation by Bondgraphs: Introduction to Graphical Method. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1990.

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40

Simulation by Bondgraphs: Introduction to a Graphical Method. Springer, 2011.

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41

Simulation by Bondgraphs: Introduction to a Graphical Method. Springer, 1990.

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42

Anderson, J. Graphical Method Based on Frequency Domain for Passive Building Energy Analysis. Amer Solar Energy Society, 1985.

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43

Eyman, Douglas. Digital Rhetoric: Theory, Method, Practice. U OF M DIGT CULT BOOKS, 2015.

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44

The Analysis of Means: A Graphical Method for Comparing Means, Rates, and Proportions (ASA-SIAM Series on Statistics and Applied Probability). SIAM, Society for Industrial and Applied Mathematics, 2005.

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45

Digital Rhetoric: Theory, Method, Practice (Digital Humanities). University of Michigan Press, 2015.

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46

Graphical Communication. Longman, 1986.

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47

Graphical Communication. Longman, 1986.

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48

Hart, Graeme K., and David Pilcher. Severity of illness scoring systems. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0029.

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Clinical outcome comparisons for research and quality assurance require risk adjustment measures validated in the population of interest. There are many scoring systems using intensive care unit (ICU)-specific or administrative data sets, or both. Risk-adjusted ICU and hospital mortality outcome measures may be not granular enough or may be censored before the absolute risk of the studied outcome reaches that of the population at large. Data linkage methods may be used to examine longer-term outcomes. Organ failure scores provide a method for assessing the intra-episode time course of illness and scores using treatment variables may be useful for assessing care requirements. Each adjustment system has specific merits and limitations, which must be understood for appropriate use. Graphical representations of the comparisons facilitate understanding and time-appropriate response to variations in outcome. There are, as yet, no universally-accepted measures for severity of illness and risk adjustment in deteriorating patients outside the ICU.

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49

Graphical Methods in Structural Analysis. Sangam Books Ltd, 1998.

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50

Prakash, D. S. Graphical Methods in Structural Analysis. Sangam Books Ltd, 1997.

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