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1

Schlittgen, Rainer. Regressionsanalysen mit R. München: Oldenbourg Wissenschaftsverlag Verlag, 2013. http://dx.doi.org/10.1524/9783486739671.

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2

Das Problem der Multikollinearität in Regressionsanalysen. Frankfurt am Main: P. Lang, 1994.

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3

Dworschak, Franz. Struktur von Arbeitseinkommen: Methodische und inhaltliche Probleme von Regressionsanalysen mit Querschnittsdaten für Mikrosimulationsmodelle. Idstein: Schulz-Kirchner, 1986.

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4

Behnke, Joachim. Logistische Regressionsanalyse. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-05082-5.

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Schendera, Christian FG. Regressionsanalyse mit SPSS. München: OLDENBOURG WISSENSCHAFTSVERLAG, 2008. http://dx.doi.org/10.1524/9783486710625.

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6

Schendera, Christian F. G. Regressionsanalyse mit SPSS. 2nd ed. München: De Gruyter Oldenbourg, 2014.

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7

Kockläuner, Gerhard. Angewandte Regressionsanalyse mit SPSS. Wiesbaden: Vieweg+Teubner Verlag, 1988. http://dx.doi.org/10.1007/978-3-322-84227-5.

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8

Urban, Dieter. Regressionsanalyse: Theorie, Technik und Anwendung. 3rd ed. Wiesbaden: VS Verlag fu r Sozialwissenschaften, 2008.

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9

Urban, Dieter, and Jochen Mayerl. Regressionsanalyse: Theorie, Technik und Anwendung. Wiesbaden: VS Verlag für Sozialwissenschaften, 2011. http://dx.doi.org/10.1007/978-3-531-93114-2.

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10

Urban, Dieter, and Jochen Mayerl. Angewandte Regressionsanalyse: Theorie, Technik und Praxis. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-01915-0.

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11

Stoetzer, Matthias-W. Regressionsanalyse in der empirischen Wirtschafts- und Sozialforschung Band 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53824-1.

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12

Stoetzer, Matthias-W. Regressionsanalyse in der empirischen Wirtschafts- und Sozialforschung Band 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-61438-9.

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13

author, Barr Christopher D., and Cʹetinkaya-Rundel Mine author, eds. OpenIntro statistics. United States]: [OpenIntro], 2012.

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14

Regression basics. 2nd ed. Thousand Oaks, Calif: Sage Publications, 2008.

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15

Terry, Sincich, ed. A second course in business statistics: Regression analysis. 4th ed. New York: Dellen, 1993.

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16

Terry, Sincich, ed. A second course in business statistics: Regression analysis. 2nd ed. San Francisco: Dellen Pub. Co., 1986.

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17

Terry, Sincich, and Boudreau Nancy S, eds. A second course in business statistics. USA: Macmillan, 1992.

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18

Belsley, David A. Conditioning diagnostics: Collinearity and weak data in regression. New York: Wiley, 1991.

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19

Terry, Sincich, ed. A second course in business statistics: Regression analysis. 3rd ed. San Francisco: Dellen Pub. Co., 1989.

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20

The economics of comparable worth. Kalamazoo, Mich: W.E. Upjohn Institute for Employment Research, 1990.

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21

Longford, Nicholas T. Random coefficient models. Oxford [England]: Clarendon Press, 1993.

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22

Campbell, Donald Thomas. A primer on regression artifacts. New York: Guilford Press, 1999.

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23

Borowiak, Dale S. Model discrimination for nonlinear regression models. New York: M. Dekker, 1989.

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24

Fuller, Wayne A. Introduction to statistical time series. 2nd ed. New York: Wiley, 1996.

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25

Survival analysis using the SAS system: A practical guide. Cary, NC: SAS Institute, 1995.

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26

1962-, Heumann Christian, and SpringerLink (Online service), eds. Recent Advances in Linear Models and Related Areas: Essays in Honour of Helge Toutenburg. Heidelberg: Physica-Verlag Heidelberg, 2008.

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27

1944-, Arnold Gregory C., ed. Applied regression analysis and experimental design. New York: M. Dekker, 1985.

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28

Fienberg, Stephen E. The analysis of cross-classified categorical data. 2nd ed. Cambridge, Mass: MIT Press, 1989.

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29

Draper, N. R. Applied regression analysis. 3rd ed. New York: Wiley, 1998.

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30

Gruber, Marvin H. J. Regression estimators: A comparative study. Boston: Academic Press, 1990.

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31

Glantz, Stanton A. Primer of applied regression and analysis of variance. New York: McGraw-Hill, 1990.

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32

K, Slinker Bryan, ed. Primer of applied regression and analysis of variance. New York: McGraw-Hill, Health Professions Division, 1990.

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33

Gruber, Marvin H. J. Regression estimators: A comparative study. Boston: Academic Press, 1992.

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34

Regression estimators: A comparative study. 2nd ed. Baltimore: Johns Hopkins University Press, 2010.

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35

Gruber, Marvin H. J. Regression estimators: A comparative study. 2nd ed. Baltimore: Johns Hopkins University Press, 2010.

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36

Eubank, Randall L. Spline smoothing and nonparametric regression. New York: M. Dekker, 1988.

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37

Ayres, Ian. Super Crunchers. New York: Random House Publishing Group, 2007.

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38

Super crunchers: Why thinking-by-numbers is the new way to be smart. New York: Bantam Boosk, 2007.

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39

Ostrom, Charles W. Time series analysis: Regression techniques. 2nd ed. Newberry Park, Calif: Sage Publications, 1990.

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40

1948-, Ruppert David, ed. Transformation and weighting in regression. New York: Chapman and Hall, 1988.

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41

Hosmer, David W. Applied survival analysis: Regression modeling of time-to-event data. 2nd ed. Hoboken, N.J: John Wiley & Sons, 2008.

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42

Hosmer, David W. Applied survival analysis: Regression modeling of time-to-event data. 2nd ed. Hoboken, N.J: Wiley-Interscience, 2008.

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43

Stanley, Lemeshow, ed. Applied survival analysis: Regression modeling of time to event data. New York: Wiley, 1999.

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44

Behnke, Joachim. Logistische Regressionsanalyse. Springer VS, 2014.

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45

Mayländer, Rudolf, and Gerhard Kockläuner. Angewandte Regressionsanalyse mit SPSS. Vieweg+Teubner Verlag, 1988.

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46

Schnapp, Kai-Uwe, and Steffen Mohrenberg. Lineare Regressionsanalyse: Eine Einführung. Springer VS, 2020.

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47

Angewandte Regressionsanalyse mit SPSS. Wiesbaden: Vieweg+Teubner Verlag, 1988.

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48

Regressionsanalyse: Theorie, Technik und Anwendung. Wiesbaden: VS Verlag für Sozialwissenschaften, 2008. http://dx.doi.org/10.1007/978-3-531-91194-6.

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49

Regressionsanalyse: Theorie, Technik und Anwendung. Wiesbaden: VS Verlag für Sozialwissenschaften, 2006. http://dx.doi.org/10.1007/978-3-531-90141-1.

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50

Urban, Dieter, and Jochen Mayerl. Angewandte Regressionsanalyse: Theorie, Technik und Praxis. Springer VS, 2018.

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