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Books on the topic 'Regression'

To see the other types of publications on this topic, follow the link: Regression.

Author: Grafiati

Published: 4 June 2021

Last updated: 14 September 2024

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1

Fahrmeir, Ludwig, Thomas Kneib, Stefan Lang, and Brian D. Marx. Regression. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63882-8.

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Fahrmeir, Ludwig, Thomas Kneib, and Stefan Lang. Regression. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01837-4.

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3

Fahrmeir, Ludwig, Thomas Kneib, Stefan Lang, and Brian Marx. Regression. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34333-9.

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Bingham, N. H., and John M. Fry. Regression. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-969-5.

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5

Winter, Susan, and Hari Rajagopalan. Regression. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071908075.

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6

Hao, Lingxin, and Daniel Naiman. Quantile Regression. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2007. http://dx.doi.org/10.4135/9781412985550.

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7

Fox, John. Regression Diagnostics. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1991. http://dx.doi.org/10.4135/9781412985604.

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8

Breen, Richard. Regression Models. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1996. http://dx.doi.org/10.4135/9781412985611.

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9

Kalisch, Markus, and Lukas Meier. Logistische Regression. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34225-8.

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10

Groß, Jürgen. Linear Regression. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55864-1.

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11

Sen, Ashish, and Muni Srivastava. Regression Analysis. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-4470-7.

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12

Seber, G. A. F., and C. J. Wild. Nonlinear Regression. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1989. http://dx.doi.org/10.1002/0471725315.

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13

Seber, G. A. F., and C. J. Wild. Nonlinear Regression. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1989. http://dx.doi.org/10.1002/0471725315.

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14

Sen, Ashish, and Muni Srivastava. Regression Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-662-25092-1.

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15

Kleinbaum, David G. Logistic Regression. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-4108-7.

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16

Davino, Cristina, Marilena Furno, and Domenico Vistocco. Quantile Regression. Oxford: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118752685.

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17

Kleinbaum, David G., and Mitchel Klein. Logistic Regression. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1742-3.

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18

Olive, David J. Linear Regression. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55252-1.

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19

Dodge, Yadolah, and Jana Jurečková. Adaptive Regression. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4419-8766-2.

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20

Marilena, Furno, and Vistocco Domenico. Quantile Regression. Chichester, UK: John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781118863718.

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21

Cook, R. Dennis, ed. Regression Graphics. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1998. http://dx.doi.org/10.1002/9780470316931.

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22

Lewis-Beck, Michael S. Regression analysis. Thousand Oaks, CA: Sage, 1994.

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23

Pampel, Fred. Logistic Regression. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2000. http://dx.doi.org/10.4135/9781412984805.

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24

Menard, Scott W. Logistic regression. Thousand Oaks, Calif: Sage Publications, 2009.

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25

Hao, Lingxin. Quantile regression. Thousand Oaks, Calif: Sage Publications, 2007.

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26

Seber, G. A. F. Nonlinear regression. Hoboken, N.J: Wiley-Interscience, 2003.

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27

Eisel, Harry E. Emotional regression. Westerville, Ohio: A Pair of Aces Pub., 1992.

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28

Regressions: The Age Regression Collection. Independently Published, 2017.

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29

Miksza, Peter, and Kenneth Elpus. Regression. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0010.

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This chapter presents the logic and technique of analyzing data using simple linear regression and multiple linear regression. Regression is a remarkably versatile statistical procedure that can be used not only to understand whether or not variables are related to each other (as in correlation) but also for providing estimates of the direction of the relationship and of the degree to which the variables are related. Beginning with a simple bivariate case analyzing a single predictor on a single outcome, the flexibility and ability for regression to analyze increasingly complex data, including binary outcomes, is discussed. Particular attention is paid to the ability of regression to be used to estimate the effect of a predictor on an outcome while statistically “controlling” for the values of other observed variables.

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30

Bennett, John M. Regression. Luna Bisonte Products, 1988.

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31

Regression. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33933-5.

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32

Teems II, Rickey, Teems II, Rickey. Regression. NoGuile Books, 2008.

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33

Regression. Carroll & Graf Publishers, 1989.

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34

Bingham, N. H., and John M. Fry. Regression. Springer, 2010.

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35

Cane-Honeysett, Tony. Regression. Chardonnay Press, 2013.

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36

Lamia, Dani. Regression. Level 4 Press, Inc., 2023.

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37

Lamia, Dani. Regression. Level 4 Press, Inc., 2023.

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38

Lamia, Dani. Regression. Level 4 Press, Inc., 2028.

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39

Urma, Sergiu. Regression. BookBaby, 2021.

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40

Hiari, Twilah. Regression. Koehler Books, 2019.

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41

Hiari, Twilah. Regression. Koehler Books, 2019.

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42

Regressions Age Regressions Collection, Volume 2 (Gender Swap Age Regression). Independently Published, 2017.

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43

Regression graphics: Ideas for studying regressions through graphics. New York: Wiley, 1998.

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44

Cook, R. Dennis. Regression Graphics: Ideas for Studying Regressions Through Graphics. Wiley & Sons, Incorporated, John, 2008.

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45

Cook, R. Dennis. Regression Graphics: Ideas for Studying Regressions Through Graphics. Wiley & Sons, Incorporated, John, 2009.

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46

Gelman, Andrew, and Deborah Nolan. Linear regression and correlation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785699.003.0005.

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This chapter addresses the descriptive treatment of linear regression with a single predictor: straight-line fitting, interpretation of the regression line and standard deviation, the confusing phenomenon of “regression to the mean,” correlation, and conducting regressions on the computer. These concepts are illustrated with student discussions and activities. Many examples are of the sort commonly found in statistics textbooks, but the focus here is on how to work the examples into student-participation activities rather than simply examples to be read or shown on the blackboard. Topics include the following relationships: height and income, height and hand span, world population over time, and exam scores.

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47

Zhu, Ce, Yipeng Liu, Jiani Liu, and Zhen Long. Tensor Regression. Now Publishers, 2021.

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48

Naiman, Daniel Q., and Lingxin Hao. Quantile Regression. SAGE Publications, Incorporated, 2007.

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49

Hoad, Clive. Cath's Regression. Lulu Press, Inc., 2014.

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50

Ruppert, David, Raymond J. Carroll, and M. P. Wand. Semiparametric Regression. Cambridge University Press, 2003.

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