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Books on the topic 'Analyse de régression PLS'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Mathes, Harald. Der PLS-Ansatz für die Analyse von Pfadmodellen. Anton Hain, 1993.

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2

Probabilités, statistique et techniques de régression. Editions SMG, 1989.

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3

Plots, transformations, and regression: An introduction to graphical methods of diagnostic regression analysis. Clarendon Press, 1985.

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4

Atkinson, A. C. Plots, transformations and regression: An introduction to graphical methods of diagnostic analysis. Oxford University Press, 1985.

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5

Canada. Ministère de l'environnement. Direction générale des eaux intérieures. Modelisation des Fluctuations de L'oxygène Dissous Dans Les Cours D'eau Par Analyse de Régression Non Linéaire. s.n, 1988.

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6

Myers, Raymond H. Classical and modern regression with applications. 2nd ed. Duxbury Press, 1990.

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7

Myers, Raymond H. Classical and modern regression with applications. 2nd ed. PWS-KENT, 1990.

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8

Classical and modern regression with applications. Duxbury Press, 1986.

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9

1952-, Silverman B. W., ed. Nonparametric regression and generalized linear models: A roughness penalty approach. Chapman & Hall, 1994.

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10

Neter, John. Applied linear statistical models: Regression, analysis of variance, and experimental designs. 3rd ed. Irwin, 1990.

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11

Neter, John. Applied linear statistical models: Regression, analysis of variance, and experimental designs. 2nd ed. R.D. Irwin, 1985.

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12

RATS handbook for econometric time series. Wiley, 1996.

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13

Introduction to nonparametric regression. Wiley-Interscience, 2006.

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14

C, Littell Ramon, and SAS Institute, eds. SAS System for regression. 2nd ed. SAS Institute, 1991.

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15

C, Littell Ramon, ed. SAS System for regression. 3rd ed. SAS Institute, 2000.

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16

Allison, Paul David. Logistic regression using the SAS system: Theory and application. SAS Institute, 1999.

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17

Modeling and interpreting interactive hypotheses in regression analysis. University of Michigan, 2008.

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18

Hastie, Trevor. Generalized additive models: Some applications. University of Toronto, Dept. of Statistics, 1985.

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19

Hastie, Trevor. Generalized additive models. Chapman and Hall, 1990.

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20

Hastie, Trevor. Generalized additive models. Chapman & Hall/CRC, 1999.

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21

Hastie, Trevor. Generalized additive models. University of Toronto, Dept. of Statistics, 1985.

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22

1947-, Hamerle Alfred, and Mayer Karl Ulrich, eds. Event history analysis: Statistical theory and application in the social sciences. L. Erlbaum Associates, 1989.

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23

Steyerberg, Ewout W. Clinical prediction models: A practical approach to development, validation, and updating. Springer, 2009.

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24

Clinical prediction models: A practical approach to development, validation, and updating. Springer, 2009.

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25

Dodge. Analyse de régression appliquée. Dunod, 1999.

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26

Atkinson, A. C. Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis (Oxford Statistical Science Series). Oxford University Press, USA, 1987.

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27

Atkinson, A. C. Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis (Oxford Statistical Science Series). Oxford University Press, USA, 1986.

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28

Kuh, Edwin, Roy E. Welsch, and David A. Belsley. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity (Wiley Series in Probability and Statistics). Wiley-Interscience, 2004.

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29

Kuh, Edwin, Roy E. Welsch, and David A. Belsley. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Wiley & Sons, Incorporated, John, 2005.

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30

Green, P. J., and Bernard W. Silverman. Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach (Monographs on Statistics and Applied Probability). Chapman & Hall/CRC, 1993.

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31

Franzese, Robert J., and Cindy Kam. Modeling and Interpreting Interactive Hypotheses in Regression Analysis. University of Michigan Press, 2007.

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32

Freund, Rudolf, and Ramon Littell. SAS(r) System for Regression, 3rd Edition. WA (Wiley-SAS), 2000.

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33

David, Freedman. Statistical Models: Theory and Practice. Cambridge University Press, 2005.

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34

Statistical Models: Theory and Practice. Cambridge University Press, 2005.

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35

Franzese, Robert J., and Cindy Kam. Modeling and Interpreting Interactive Hypotheses in Regression Analysis. University of Michigan Press, 2007.

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36

Mayer, Karl Ulrich, Hans-Peter Blossfeld, and Alfred Hamerle. Event History Analysis: Statistical theory and Application in the Social Sciences. Lawrence Erlbaum, 1988.

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37

Mayer, Karl Ulrich, Hans-Peter Blossfeld, and Alfred Hamerle. Event History Analysis: Statistical Theory and Application in the Social Sciences. Taylor & Francis Group, 2016.

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38

Steyerberg, Ewout W. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. Springer, 2019.

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39

Steyerberg, Ewout W. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. Springer, 2020.

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