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Thematische Bibliographien / Graphical Modeler / Bücher

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Bücher zum Thema „Graphical Modeler“

Autor: Grafiati

Veröffentlicht am 29. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Inc, Spatial Technology, ed. ACIS geometric modeler: Application guide. Spatial Technology, Inc., 1996.

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2

Robinson, Stephen. "Multiresolution analysis of polygonal surfaces" graphics modeller. University of Manchester, Department of Computer Science, 1996.

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3

Kasʹi︠a︡nov, V. N. Vizualizat︠s︡ii︠a︡ grafov i grafovykh modeleĭ. Sibirskoe nauch. izd-vo, 2010.

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4

Ferraro, Richard F. A tutorial guide to PT/Modeler 2.0 and Pro/ENGINEER. Addison-Wesley, 1998.

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5

H, Andersen H., ed. Linear and graphical models: For the multivariate complex normal distribution. Springer-Verlag, 1995.

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6

Whittaker, J. Graphical models in applied multivariate statistics. Wiley, 1990.

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7

Barzel, Ronen. Physically-based modeling for computer graphics: A structured approach. Academic Press, 1992.

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8

Koepke, Marguerite L. Model graphics: Building and using study models. Van Nostrand Reinhold, 1988.

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9

Systems, Swanson Analysis, ed. ANSYS graphics supplement for revision 5.0. Swanson Analysis Systems, 1992.

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10

Smith, Brad Lee. Initial Graphics Exchange Specification (IGES), version 3.0. Society of Automotive Engineers, 1986.

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11

1943-, Fletterick Robert J., Zoller Mark, and Cold Spring Harbor Laboratory, eds. Computer graphics and molecular modeling. Cold Spring Harbor Laboratory, 1986.

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12

R, Thompson James. Empirical model building. Wiley, 1989.

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13

United States. National Aeronautics and Space Administration., ed. Three-dimensional user interfaces for scientific visualization: Status report (January 1994 through January 1995). National Aeronautics and Space Administration, 1995.

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14

United States. National Aeronautics and Space Administration., ed. Three-dimensional user interfaces for scientific visualization: Status report (January 1994 through January 1995). National Aeronautics and Space Administration, 1995.

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15

United States. National Aeronautics and Space Administration., ed. An accurate and dynamic computer graphics muscle model: Thesis ... University of Texas at Austin, 1997.

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16

1944-, Earnshaw Rae A., Parslow R. D, Woodwark John, Unicom Seminars Ltd, and British Computer Society. Computer Graphics and Displays Group., eds. Geometric modelling and computer graphics: Techniques and applications. Technical Press, 1987.

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17

Bethune, James D. Engineering design and graphics with Autodesk Inventor 10. Pearson Prentice Hall, 2006.

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18

Bashkatov, Alexander. Modeling in OpenSCAD: examples. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/959073.

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The tutorial is an introductory course to the study of the basics of geometric modeling for 3D printing using the programming language OpenSCAD and is built on the basis of descriptions of instructions for creating primitives, determining their properties, carrying out transformations and other service operations. It contains a large number of examples with detailed comments and description of the performed actions, which allows you to get basic skills in creating three-dimensional and flat models, exporting and importing graphical data. Meets the requirements of the Federal state educat

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19

Brewe, David E. Study of journal bearing dynamics using three-dimensional motion picture graphics. National Aeronautics and Space Administration, Lewis Research Center, 1986.

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20

Koh, Eng-Kiat. Generating and structuring terrain features on parallel vector architectures. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1988.

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21

Saufley, Ted. AutoCAD AME: Solid modeling for mechanical design. Goodheart-Wilcox, 1994.

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22

Metaxas, Dimitris N. Physics-Based Deformable Models: Applications to Computer Vision, Graphics and Medical Imaging. Springer US, 1997.

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23

1944-, Earnshaw R. A., Parslow R. D. 1926-, Woodwark John, and Unicom Seminars, eds. Geometric modelling and computer graphics: Techniques and applications : based on papers delivered at seminars on 25-27 June 1985 organised by Unicom Seminars Ltd and on 26 February 1986 organised by BCS Graphics and Displays Group. Technical Press in association with Unicom Seminars, 1987.

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24

Heuermann, Arnulf. Die Erfahrungskurve im Telekommunikationsbereich. Springer-Verlag, 1989.

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25

Friendly, Michael. Interpreting higher order interactions in loglinear analysis: A picture is worth 1000 numbers. Institute for Social Research, York University, 1991.

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26

Lamden, M. J. Portable graphics for Modeller-using GKS. 1987.

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27

Paul, Pradip, and Arunangshu Giri. Applied Marketing Analytics Using SPSS: Modeler, Statistics and AMOS Graphics. Prentice Hall India Pvt., Limited, 2021.

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28

Kruse, Professor, Christian Borgelt, Matthias Steinbrecher, and Rudolf R. Kruse. Graphical Models. Wiley & Sons, Incorporated, John, 2009.

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29

Miller, Jacob R., and Gene Fiorini. Modeling Reality with Functions: Analytical, Numerical, Graphical. 2nd ed. Kendall/Hunt Publishing Company, 2001.

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30

Adamson, Gary, and Brendan Bunting. Some statistical and graphical strategies for exploring the effect of interventions in health research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0021.

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This chapter explores statistical and graphical strategies for exploring the effect of interventions in health research and presents a brief overview of some common and some not so common methods for assessing data from interventions and have pointed to some associated advantages and disadvantages. It discusses gain scores, analysis of variance models, structural equation modelling, and the latent growth model.

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31

Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network

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32

Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0000.

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Abstract R is an open-source statistical environment modelled after the previously widely used commercial programs S and S-Plus, but in addition to powerful statistical analysis tools, it also provides powerful graphics outputs. In addition to its statistical and graphical capabilities, R is a programming language suitable for medium-sized projects. This book presents a set of studies that collectively represent almost all the R operations that beginners, analysing their own data up to perhaps the early years of doing a PhD, need. Although the chapters are organized around topics such as graph

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33

Bollen, Kenneth A., Sophia Rabe‐Hesketh, and Anders Skrondal. Structural Equation Models. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0018.

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This article explains the use of factor analysis types of models to develop measures of latent concepts which were then combined with causal models of the underlying latent concepts. In particular, it offers an overview of the classic structural equation models (SEMs) when the latent and observed variables are continuous. Then it looks at more recent developments that include categorical, count, and other noncontinuous variables as well as multilevel structural equation models. The model specification, assumptions, and notation are covered. This is followed by addressing implied moments, ident

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34

Makela, Susanna, Yajuan Si, and Andrew Gelman. Graphical Visualization of Polling Results. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.12.

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This chapter argues that it is wasteful to do a large, expensive poll and then just report a few percentages. Statistical modeling allows researchers to make the most effective use of available data, and graphs make it possible to convey more information more directly, both to general audiences and to specialists. Graphs are an invaluable tool at each step of the modeling process: exploring raw data, building and refining the model, and understanding and communicating the results are all made easier with graphs. In addition, graphical methods can be useful to survey researchers to understand w

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35

McCleary, Richard, David McDowall, and Bradley Bartos. Design and Analysis of Time Series Experiments. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.001.0001.

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Design and Analysis of Time Series Experiments develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioral, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao model-building strategy is supplemented with recent auxiliary tests for transformation, differencing, and model selection. The validity of causal inferences is approached from two complementary directions. The four-validity system of Cook and Campbell

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36

McDowall, David, Richard McCleary, and Bradley J. Bartos. Interrupted Time Series Analysis. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190943943.001.0001.

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Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioural, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao model-building strategy is supplemented with recent auxiliary tests for transformation, differencing and model selection. New developments, including Bayesian hypothesis testing and synthetic control group designs are described and their prospects for widespread a

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37

Wittman, David M. The Elements of Relativity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199658633.001.0001.

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Relativity is a set of remarkable insights into the way space and time work. The basic notion of relativity, first articulated by Galileo, explains why we do not feel Earth moving as it orbits the Sun and was successful for hundreds of years. We present thinking tools that elucidate Galilean relativity and prepare us for the more modern understanding. We then show how Galilean relativity breaks down at speeds near the speed of light, and follow Einstein’s steps in working out the unexpected relationships between space and time that we now call special relativity. These relationships give rise

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38

Andersen, Heidi H., Malene Hojbjerre, Dorte Sorensen, and Poul S. Eriksen. Linear and Graphical Models: For the Multivariate Complex Normal Distribution. Springer London, Limited, 2012.

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39

Barr, Alan H., and Ronen Barzel. Physically-Based Modeling for Computer Graphics: A Structured Approach. Elsevier Science & Technology Books, 2013.

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40

Gelman, Andrew, and Deborah Nolan. Statistical graphics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785699.003.0004.

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A statistical graph can offer an alternative compelling approach to teaching statistical thinking, but making good statistical graphs is hard to do. Each step in the process (e.g., change in scale, transform a variable, select colors, add a reference marker) engages students in better understanding data and models. However, this creative process is not easily encapsulated in a textbook. Since it is relatively easy to make a basic plot with statistical software, we can engage students in activities around making statistical graphs. This chapter provides guiding principles and lecture topics for

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41

Autodesk Inventor 2018 and Engineering Graphics. Taylor & Francis Group, 2018.

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42

SOLIDWORKS 2017 and Engineering Graphics. Taylor & Francis Group, 2017.

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43

Shih, Randy H. Autodesk Inventor 2020 and Engineering Graphics. SDC Publications, 2019.

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44

Anand, Vera B. Computer Graphics and Geometric Modeling for Engineers. Wiley, 1996.

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45

Salomon, David. Curves and Surfaces for Computer Graphics. Springer, 2007.

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46

Salomon, David. Curves and Surfaces for Computer Graphics. Springer, 2011.

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47

Krueger, Thomas J., D. Juricic, and Ronald E. Barr. ENGINEERING and COMPUTER GRAPHICS WORKBOOK USING SOLIDWORKS 2019. Taylor & Francis Group, 2019.

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48

Engineering Design and Graphics with Autodesk Inventor 6. Prentice Hall, 2003.

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49

Engineering Design Graphics with Autodesk Inventor. Peachpit Press, 2019.

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50

Borgelt, Christian, Matthias Steinbrecher, and Rudolf R. Kruse. Graphical Models: Representations for Learning, Reasoning and Data Mining. Wiley & Sons, Limited, John, 2009.

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