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Books on the topic 'Linear regression'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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

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2

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

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3

John, Neter, ed. Applied linear regression models. 3rd ed. Irwin, 1996.

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4

Weisberg, Sanford. Applied Linear Regression. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471704091.

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5

Seber, George A. F. Linear regression analysis. 2nd ed. Wiley-Interscience, 2002.

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6

Weisberg, Sanford. Applied Linear Regression. John Wiley & Sons, Ltd., 2005.

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7

1946-, Lee A. J., ed. Linear regression analysis. 2nd ed. Wiley-Interscience, 2003.

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8

Andersen, Per Kragh, and Lene Theil Skovgaard. Regression with Linear Predictors. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7170-8.

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9

William, Wasserman, and Kutner Michael H, eds. Applied linear regression models. 2nd ed. Irwin, 1989.

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10

Kutner, Michael H. Applied linear regression models. 4th ed. McGraw-Hill, 2003.

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11

Theil, Skovgaard Lene, and Graversen Therese, eds. Regression with linear predictors. Springer, 2010.

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12

Chris, Nachtsheim, and Neter John, eds. Applied linear regression models. 4th ed. McGraw-Hill/Irwin, 2004.

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13

John, Neter, ed. Applied linear regression models. 3rd ed. Irwin, 1996.

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14

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

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15

Chatterjee, Samprit. Sensitivity analysis in linear regression. Wiley, 1988.

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16

Chatterjee, Samprit, and Ali S. Hadi, eds. Sensitivity Analysis in Linear Regression. John Wiley & Sons, Inc., 1988. http://dx.doi.org/10.1002/9780470316764.

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17

1953-, Peck Elizabeth A., and Vining G. Geoffrey 1954-, eds. Introduction to linear regression analysis. 3rd ed. Wiley, 2001.

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18

1953-, Peck Elizabeth A., and Vining G. Geoffrey 1954-, eds. Introduction to linear regression analysis. 4th ed. Wiley-Interscience, 2006.

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19

1953-, Peck Elizabeth A., and Vining G. Geoffrey 1954-, eds. Introduction to linear regression analysis. 5th ed. Wiley, 2012.

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20

1953-, Peck Elizabeth A., ed. Introduction to linear regression analysis. 2nd ed. Wiley, 1992.

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21

Dasgupta, Hirak. How to Use Linear Regression. SAGE Publications Inc., 2023. http://dx.doi.org/10.4135/9781529669435.

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22

Fry, John M. (John Michael), 1980-, ed. Regression: Linear models in statistics. Springer, 2010.

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23

Linear Regression. Springer, 2017.

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24

Olive, David J. Linear Regression. Springer, 2017.

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25

Groß, Jürgen. Linear Regression. Springer London, Limited, 2012.

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26

Olive, David J. Linear Regression. Springer International Publishing AG, 2018.

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27

Linear Regression. Springer, 2003.

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28

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 inclu

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29

Kuh, Edwin, Roy E. Welsch, and NBER Computer Research Center. Linear Regression Diagnostics. Franklin Classics, 2018.

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30

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2021.

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31

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2013.

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32

Cardot, Hervé, and Pascal Sarda. Functional Linear Regression. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.2.

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This article presents a selected bibliography on functional linear regression (FLR) and highlights the key contributions from both applied and theoretical points of view. It first defines FLR in the case of a scalar response and shows how its modelization can also be extended to the case of a functional response. It then considers two kinds of estimation procedures for this slope parameter: projection-based estimators in which regularization is performed through dimension reduction, such as functional principal component regression, and penalized least squares estimators that take into account

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33

Lee, Alan J., and George A. F. Seber. Linear Regression Analysis. Wiley & Sons, Incorporated, John, 2012.

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34

Applied linear regression. 2nd ed. Wiley, 1985.

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35

Applied Linear Regression. Wiley, 2013.

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36

Applied linear regression. 3rd ed. Wiley-Interscience, 2005.

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37

Lee, Alan J., and George A. F. Seber. Linear Regression Analysis. Wiley & Sons, Incorporated, John, 2012.

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38

Seber, George A., and Alan J. Lee. Linear Regression Analysis. Wiley & Sons, Incorporated, John, 2012.

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39

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2021.

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40

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2021.

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41

Kuh, Edwin, Roy E. Welsch, and Nber Computer Research Center. Linear Regression Diagnostics. Franklin Classics Trade Press, 2018.

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42

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2013.

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43

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2014.

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44

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2013.

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45

Weisberg, S., and Sanford Weisberg. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2005.

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46

Weisberg, Sanford. Applied Linear Regression. Wiley & Sons, Incorporated, John, 2014.

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47

Hoffman, John P. Linear Regression Models. Taylor & Francis Group, 2021.

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48

Multiple Linear Regression. Starttech Educational Services LLP, 2020. http://dx.doi.org/10.4135/9781529630138.

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49

Applied Linear Regression. Wiley & Sons, Incorporated, John, 2014.

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50

Applied Linear Regression. 2005.

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