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Books on the topic 'Experimental Graphic Design'

Author: Grafiati
Published: 10 September 2021
Last updated: 2 February 2022

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1

Haaland, Perry D. Experimental design in biotechnology. New York: Marcel Dekker, 1990.

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2

Haaland, Perry D. Experimental design in biotechnology. New York: Marcel Dekker, 1989.

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3

Betina, Müller, ed. Experimental design: Visual methods and systematic play. Zurich]: Niggli Publishing, 2015.

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4

Rachel, Mallory, ed. Experimental eco->design: Product, architecture, fashion. Crans-Près-Céligny: RotoVision, 2005.

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5

(Firm), ATTIK. 1986 an infinity of time, and less than the blink of an eye: Retrospective. Leeds: ATTIK, 2008.

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6

1978-, Michaels Adam, ed. The electric information age book: McLuhan/Agel/Fiore and the experimental paperback. New York: Princeton Architectural Press, 2011.

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7

Vizmuller, Peter. Design centering using Mu-Sigma graphics and system simulation. Boston, Mass: Artech House, 1998.

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8

Perez-Wilson, Mario. Multi-vari chart and analysis: A Pre-Experimentation Technique. Scottsdale, AZ: Advanced Systems Consultants, 1992.

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9

Peter, Hall. Pause: 59 minutes of motion graphics : broadcast design, music video, animation, and experimental graphics from around the world. New York, NY: Universe, 2000.

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10

Steven, Heller. Letterforms, bawdy, bad & beautiful: The evolution of hand-drawn, humorous, vernacular, and experimental type. New York: Watson-Guptill, 2000.

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11

Stinson, Douglas R., and Jeffrey H. Dinitz, eds. Contemporary Design Theory: A Collection of Surveys. New York, USA: Wiley-Interscience, 1992.

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12

Symposium, on Optimization Design of Experiments and Graph Theory (1986 Bombay India). Optimization, design of experiments and graph theory: Proceedings of the Symposium on Optimization, Design of Experiments and Graph Theory, held at Indian Institute of Technology, Bombay, during December 15-17, 1986. Bombay: The Institute, 1988.

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13

Symposium on Optimization, Design of Experiments and Graph Theory (1986 Indian Institute of Technology). Optimization, design of experiments and graph theory: Proceedings of the Symposium on Optimization, Design of Experiments and Graph Theory, held at Indian Institute of Technology, Bombay, during December 15-17, 1988. Bombay: Indian Institute of Technology, 1988.

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14

David, Hutchison. Experimental Algorithms: 8th International Symposium, SEA 2009, Dortmund, Germany, June 4-6, 2009. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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15

Encarnação, José L. Workstations for Experiments: IFIP WG 5.10 International Working Conference Lowell, MA, USA, July 1989. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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16

undifferentiated, Daniel Mason. Experimental Formats & Packaging. Rotovision, 2007.

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17

Barton, Russell R. Graphical Methods for the Design of Experiments. Springer, 1999.

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18

undifferentiated, Daniel Mason. Experimental Formats and Packaging: Creative Solutions for Inspiring Graphic Design. Rotovision, 2004.

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19

Kosslyn, Stephen M. Graph Design for the Eye and Mind. Oxford University Press, USA, 2006.

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20

Kosslyn, Stephen M. Graph Design for the Eye and Mind. Oxford University Press, USA, 2006.

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21

Andy, Cameron, and IdN (Firm), eds. The Art of experimental interaction design. Hong Kong: IdN, 2004.

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22

Brower, Cara, Rachel Mallory, and Zachary Ohlman. Experimental Eco-Design: Product, Architecture, Fashion. RotoVision, 2005.

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23

White, Glyn. Reading the Graphic Surface: The Presense of the Book in Prose Fiction. Manchester University Press, 2005.

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24

White, Glyn. Reading the Graphic Surface: The Presence of the Book in Prose Fiction. Manchester University Press, 2014.

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25

Cameron, Andy, and Systems Design Limited. IdN Special 04 - The Art of Experimental Interaction Design. Gingko Press, 2004.

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26

Hanson, Matt, and Shane Walter. Motion Blur: Graphic Moving Imagemakers. Collins Design, 2004.

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27

(Firm), Onedotzero, ed. Motion blur: Onedotzero: graphic moving imagemakers. London: Laurence King, 2004.

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28

Creighton, Lee, and Jacques Goupy. Introduction to Design of Experiments with JMP Examples, Third Edition. 3rd ed. SAS Press, 2007.

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29

Breaking the Rules: The Printed Face of the European Avant Garde 1900-1937. British Library, 2008.

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30

1954-, Bury Stephen, and British Library, eds. Breaking the rules: The printed face of the European avant garde 1900-1937. London: British Library, 2007.

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31

Breaking the Rules: The Printed Face of the European Avant Garde 1900-1937. British Library, 2008.

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32

Personal Web Sites: Top Designers Push the Boundaries with Experimental Design and Graphics. Rockport Publishers, 2002.

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33

Contemporary Design Theory: A Collection of Surveys (Wiley-Interscience Series in Discrete Mathematics and Optimization). Wiley-Interscience, 1992.

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34

1952-, Dinitz Jeffrey H., and Stinson Douglas R. 1956-, eds. Contemporary design theory: A collection of surveys. New York: Wiley, 1992.

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35

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 adoption are discussed. Example analyses make optimal use of graphical illustrations. Mathematical methods used in the example analyses are explicated assuming only exposure to an introductory statistics course. Design and Analysis of Time Series Experiments (DATSE) and other appropriate authorities are cited for formal proofs. Forty completed example analyses are used to demonstrate the implications of model properties. The example analyses are suitable for use as problem sets for classrooms, workshops, and short-courses.
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36

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 relies on ruling out discrete threats to statistical conclusion, internal, construct, and external validity. The Rubin system causal model relies on the identification of counterfactual time series. The two approaches to causal validity are shown to be complementary and are illustrated with a construction of a synthetic control time series. Example analyses make optimal use of graphical illustrations. Mathematical methods used in the example analyses are explicated in technical appendices, including expectation algebra, sequences and series, maximum likelihood, Box-Cox transformation analyses and probability.
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37

Bisseling, Rob H. Parallel Scientific Computation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198788348.001.0001.

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This book explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data. Furthermore, it presents a hybrid BSP approach towards new hardware developments such as hierarchical architectures with both shared and distributed memory. The book provides a full treatment of core problems in scientific computing and big data, starting from a high-level problem description, via a sequential solution algorithm to a parallel solution algorithm and an actual parallel program written in the communication library BSPlib. Numerical experiments are presented for parallel programs on modern parallel computers ranging from desktop computers to massively parallel supercomputers. The introductory chapter of the book gives a complete overview of BSPlib, so that the reader already at an early stage is able to write his/her own parallel programs. Furthermore, it treats BSP benchmarking and parallel sorting by regular sampling. The next three chapters treat basic numerical linear algebra problems such as linear system solving by LU decomposition, sparse matrix-vector multiplication (SpMV), and the fast Fourier transform (FFT). The final chapter explores parallel algorithms for big data problems such as graph matching. The book is accompanied by a software package BSPedupack, freely available online from the author’s homepage, which contains all programs of the book and a set of test programs.
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