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Books on the topic 'Analyse statistique multiple'

Author: Grafiati

Published: 22 February 2025

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1

J, Greenacre Michael, and Blasius Jörg 1957-, eds. Multiple correspondence analysis and related methods. Boca Raton: Chapman & Hall/CRC, 2006.

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2

Paul, Reise Steven, and Duan Naihua 1949-, eds. Multilevel modeling: Methodological advances, issues, and applications. Mahwah, N.J: Lawrence Erlbaum Associates, 2003.

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3

Bechhofer, Robert E. Design and analysis of experiments for statistical selection, screening, and multiple comparisons. New York: Wiley, 1995.

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4

Jaccard, James. Interaction effects in multiple regression. 2nd ed. Thousand Oaks, Calif: Sage Publications, 2003.

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5

Robert, Turrisi, and Wan Choi K, eds. Interaction effects in multiple regression. Newbury Park: Sage Publications, 1990.

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6

K, Wan Choi, ed. LISREL approaches to interaction effects in multiple regression. Thousand Oaks, Calif: Sage Publications, 1996.

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7

Hsu, Jason. Multiple Comparisons: Theory and Methods. Taylor & Francis Group, 1996.

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8

Hsu, Jason. Multiple Comparisons: Theory and Methods. Taylor & Francis Group, 1996.

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9

Multiple Comparisons: Theory and Methods. Chapman & Hall/CRC, 1996.

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10

Multiple Comparisons: Theory and Methods. Taylor & Francis Group, 2023.

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11

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Taylor & Francis Group, 2002.

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12

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Routledge, 2013.

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13

West, Stephen G., Jacob Cohen, Patricia Cohen, and Leona S. Aiken. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Taylor & Francis Group, 2013.

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14

West, Stephen G., Jacob Cohen, Patricia Cohen, and Leona S. Aiken. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Taylor & Francis Group, 2013.

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15

Cohen, Jacob, and Patricia Cohen. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Taylor & Francis Group, 1998.

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16

West, Stephen G., Jacob Cohen, Patricia Cohen, and Leona S. Aiken. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Taylor & Francis Group, 2014.

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17

Multiple Correspondence Analysis for the Social Sciences. Taylor & Francis Group, 2018.

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18

Hjellbrekke, Johs. Multiple Correspondence Analysis for the Social Sciences. Taylor & Francis Group, 2018.

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19

Hjellbrekke, Johs. Multiple Correspondence Analysis for the Social Sciences. Taylor & Francis Group, 2018.

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20

Raghunathan, Trivellore, Patricia A. Berglund, and Peter W. Solenberger. Multiple Imputation in Practice: With Examples Using IVEware. Taylor & Francis Group, 2018.

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21

Raghunathan, Trivellore, Patricia A. Berglund, and Peter W. Solenberger. Multiple Imputation in Practice: With Examples Using IVEware. Taylor & Francis Group, 2018.

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22

Raghunathan, Trivellore, Patricia A. Berglund, and Peter W. Solenberger. Multiple Imputation in Practice: With Examples Using IVEware. Taylor & Francis Group, 2018.

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23

Multiple Imputation in Practice: With Examples Using IVEware. Taylor & Francis Group, 2018.

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24

Buuren, Stef van. Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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25

Buuren, Stef van. Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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26

Buuren, Stef van. Flexible Imputation of Missing Data Second Edition. Taylor & Francis Group, 2021.

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27

Buuren, Stef van. Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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28

Flexible Imputation of Missing Data, Second Edition. Taylor & Francis Group, 2018.

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29

Multiple and Generalized Nonparametric Regression (Quantitative Applications in the Social Sciences). Sage Publications, Inc, 2000.

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30

Visualization and verbalization of data. Boca Raton: CRC Press, Taylor & Francis Group, 2014.

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31

Buuren, Stef van. Flexible Imputation of Missing Data. Taylor & Francis Group, 2012.

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32

Flexible imputation of missing data. Boca Raton: CRC Press, 2012.

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33

Analysis of Integrated Data. Taylor & Francis Group, 2019.

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34

Chambers, Raymond L., and Li-Chun Zhang. Analysis of Integrated Data. Taylor & Francis Group, 2019.

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35

Chambers, Raymond L., and Lichun Zhang. Analysis of Integrated Data. Taylor & Francis Group, 2021.

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36

Chambers, Raymond L., and Li-Chun Zhang. Analysis of Integrated Data. Taylor & Francis Group, 2019.

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37

Mixture Model-Based Classification. Taylor & Francis Group, 2016.

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38

McNicholas, Paul D. Mixture Model-Based Classification. Taylor & Francis Group, 2016.

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39

McNicholas, Paul D. Mixture Model-Based Classification. Taylor & Francis Group, 2020.

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40

McNicholas, Paul D. Mixture Model-Based Classification. Taylor & Francis Group, 2016.

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41

McNicholas, Paul D. Mixture Model-Based Classification. Taylor & Francis Group, 2016.

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42

McNicholas, Paul D. Mixture Model-Based Classification. Taylor & Francis Group, 2016.

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43

Ensemble methods: Foundations and algorithms. Boca Raton, FL: Taylor & Francis, 2012.

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44

Turrisi, Rob. Interaction Effects in Multiple Regression. 2003.

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45

Wan, Chun. LISREL Approaches to Interaction Effects in Multiple Regression. 1996.

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46

Pages, Jerome. Multiple Factor Analysis by Example Using R. Taylor & Francis Group, 2014.

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47

Multiple Factor Analysis by Example Using R. Apple Academic Press Inc., 2014.

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48

Cogato Lanza, Elena, Farzaneh Bahrami, Simon Berger, and Luca Pattaroni, eds. Post-Car World. MetisPresses, 2021. http://dx.doi.org/10.37866/0563-73-9.

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Abstract:

Et si le monde urbain était un monde sans voiture? Post-Car World tente de répondre à cette interrogation dans le contexte de la transition énergétique, à l’heure où la mobilité des biens, des personnes et du vivant constitue l’enjeu autour duquel reconfigurer les espaces urbains. La question s’impose avec une urgence particulière dans la ville-territoire: cette ville dispersée et à basse densité, encore largement dépendante de l’usage de la voiture et oubliée des politiques de mobilité alternatives. En considérant le cas de la métropole lémanique, les auteurs développent une lecture cartographique, photographique et statistique de son évolution durant le siècle de la voiture, pour ensuite la faire résonner avec une analyse des changements de comportement à l’oeuvre dans les villes européennes, afin de saisir les leviers permettant de renverser le paradigme fonctionnel qui a façonné les territoires à l’échelle globale. De même que la sédimentation des siècles qui ont précédé la voiture a servi de support à un habitat motorisé – la rupture technique n’ayant bouleversé ni les maillages viaires, ni le réseau de noyaux villageois – la métropole post-car se modèlera elle aussi, telle un palimpseste, sur les structures matérielles, les pratiques sociales et les imaginaires, en plein bouleversement, du présent. Croisant les regards de l’architecture, de la sociologie et de l’urbanisme, l’expérimentation méthodologique restituée dans cet ouvrage débouche sur quatre visions prospectives, articulées en autant de mises en fiction. Face à l’accélération des multiples transitions qui affectent les villes, les disciplines de l’espace et de la société ne peuvent que partager l’obligation de redéfinir les limites du pensable, en affûtant les techniques de vision et de production du futur. Préface de Jacques Lévy. Avec les contributions de Vincent Kaufmann, Emmanuel Ravalet et Alexandre Rigal.

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49

Information Theory. 1986.

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50

Information theory: Structural models for qualitative data. Beverly Hills: Sage Publications, 1986.

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