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Books on the topic 'Regressiya'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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

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Fahrmeir, Ludwig, Thomas Kneib, Stefan Lang, and Brian Marx. Regression. 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. 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. SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071908075.

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6

Hao, Lingxin, and Daniel Naiman. Quantile Regression. SAGE Publications, Inc., 2007. http://dx.doi.org/10.4135/9781412985550.

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7

Fox, John. Regression Diagnostics. SAGE Publications, Inc., 1991. http://dx.doi.org/10.4135/9781412985604.

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8

Breen, Richard. Regression Models. SAGE Publications, Inc., 1996. http://dx.doi.org/10.4135/9781412985611.

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9

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

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10

Groß, Jürgen. Linear Regression. 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. 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. 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. John Wiley & Sons, Inc., 1989. http://dx.doi.org/10.1002/0471725315.

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14

Sen, Ashish, and Muni Srivastava. Regression Analysis. 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. 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. 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. 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. 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. 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. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781118863718.

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21

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

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22

Lewis-Beck, Michael S. Regression analysis. Sage, 1994.

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23

Pampel, Fred. Logistic Regression. SAGE Publications, Inc., 2000. http://dx.doi.org/10.4135/9781412984805.

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24

Menard, Scott W. Logistic regression. Sage Publications, 2009.

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25

Hao, Lingxin. Quantile regression. Sage Publications, 2007.

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26

Seber, G. A. F. Nonlinear regression. Wiley-Interscience, 2003.

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27

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

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28

ODILE. Functional Estimation Density Regressihb: Functional Estimation for Density, Regression Models and Processes. World Scientific Publishing Co Pte Ltd, 2023.

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29

Contagem Regressiva. 2nd ed. FTD, 1990.

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30

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

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Abstract:

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

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31

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

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32

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

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33

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

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34

Regression. Carroll & Graf Publishers, 1989.

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35

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

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36

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

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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., 2023.

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39

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

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40

Urma, Sergiu. Regression. BookBaby, 2021.

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41

Hiari, Twilah. Regression. Koehler Books, 2019.

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42

Hiari, Twilah. Regression. Koehler Books, 2019.

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43

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

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44

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

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45

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

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46

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

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47

West, Stephen G., Leona S. Aiken, Heining Cham, and Yu Liu. Multiple Regression. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199793549.013.0013.

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48

Panik, Michael. Regression Modeling. Chapman and Hall/CRC, 2009. http://dx.doi.org/10.1201/9781420091984.

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49

Regression Estimators. Elsevier, 1990. http://dx.doi.org/10.1016/c2013-0-10775-1.

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50

Quantile Regression. Cambridge University Press, 2005. http://dx.doi.org/10.1017/ccol0521845734.

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