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1

Chernozhukov, Victor. Inference for distributional effects using instrumental quantile regression. Massachusetts Institute of Technology, Dept. of Economics, 2002.

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2

Krishnamurthy, Chandra Kiran B. The distributional impacts of climate change on Indian agriculture: A quantile regression approach. Madras School of Economics, 2012.

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3

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

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4

Freeman, James M. Firm-size distributions: A piecewise regression analysis. University of Manchester Institute of Science and Technology, 1985.

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5

Györfi, László, Michael Kohler, Adam Krzyżak, and Harro Walk. A Distribution-Free Theory of Nonparametric Regression. Springer New York, 2002. http://dx.doi.org/10.1007/b97848.

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6

missing], [name. A distribution-free theory of nonparametric regression. Springer, 2003.

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7

Chernozhukov, Victor. Inference on counterfactual distributions. Massachusetts Institute of Technology, Dept. of Economics, 2008.

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8

Chernozhukov, Victor. Inference on counterfactual distributions. Massachusetts Institute of Technology, Dept. of Economics, 2008.

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9

Heckman, James J. Fifty years of mincer earnings regressions. National Bureau of Economic Research, 2003.

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10

Knight, Keith. Asympotitics for L1 regression estimators under general conditions. University of Toronto, Dept. of Statistics, 1997.

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11

Michelis, Leo. Orthogonal regression models and the distribution of non-nested tests. York University, Dept. of Economics, 1994.

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12

Michelis, Leo. Orthogonal regression models and the distribution of non-nested tests. Dept. of Economics, York University, 1994.

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13

Bartlett, Sheryl Anne. Predictive and posterior distributions for normal multivariate data with missing monotone patterns. University of Toronto, Dept. of Statistics, 1985.

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14

Nadaraya, E. A. Nonparametric estimation of probability densities and regression curves. Kluwer Academic Publishers, 1989.

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15

Rao, J. Sunil. Bootstrap model selection via the cost complexity parameter in regression. University of Toronto, Department of Statistics, 1993.

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16

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. ACT, Inc., 1997.

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17

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. ACT, Inc., 1997.

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18

Srivastava, M. S. Bootstrapping Durbin-Watson statistics. University of Toronto, Dept. of Statistics, 1985.

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19

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

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20

Michelis, Leo. The null distribution of non-nested tests with nearly orthogonal regression models. York University, Dept. of Economics, 1994.

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21

Michelis, Leo. The null distribution of non-nested tests with nearly orthogonal regression models. Dept. of Economics, York University, 1994.

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22

Arabsheibani, G. R. Human capital and earnings inequality in Brazil, 1988-98: Quantile regression evidence. World Bank, 2003.

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23

Mitchel, Klein, and SpringerLink (Online service), eds. Logistic Regression: A Self-Learning Text. Springer Science+Business Media, LLC, 2010.

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24

Bai, Jushan. Testing for parameter constancy in linear regressions: Empirical distribution function approach. Dept. of Economics, Massachusetts Institute of Technology, 1993.

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25

S, Korkhin Arnold, and SpringerLink (Online service), eds. Regression Analysis Under A Priori Parameter Restrictions. Springer Science+Business Media, LLC, 2012.

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26

Poterba, James M. The distribution of public sector wage premia: New evidence using quantile regression methods. National Bureau of Economic Research, 1994.

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27

Mitchel, Klein, and Pryor Erica Rihl, eds. Logistic regression: A self-learning text. 2nd ed. Springer, 2002.

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28

G, Schimek Michael, ed. Smoothing and regression: Approaches, computation, and application. Wiley, 2000.

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29

Stephen, Horan, and United States. National Aeronautics and Space Administration., eds. Rain rate statistics in southern New Mexico. National Aeronautics and Space Administration, 1997.

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30

J, Rosentreter Jeffrey, Idaho National Engineering and Environmental Laboratory, United States. Dept. of Energy, and Geological Survey (U.S.), eds. The use of chemical and physical properties for characterization of strontium distribution coefficients at the Idaho National Engineering and Environmental Laboratory, Idaho. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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31

Overton, Jacob McC. Predicting vegetation condition and weed distributions for systematic conservation management: An application of GRASP in the central South Island. Dept. of Conservation, 2003.

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32

Kurt, Hoffmann. Improved estimation of distribution parameters: Stein-type estimators. B.G. Teubner, 1992.

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33

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

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34

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

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35

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

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36

Larson, Steven J. Development and application of watershed regressions for pesticides (WARP) for estimating atrazine concentration distributions in streams. U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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37

Larson, Steven J. Development and application of watershed regressions for pesticides (WARP) for estimating atrazine concentration distributions in streams. U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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38

Sakamoto, Y. Categorical data analysis by AIC. KTK Scientific Publishers, 1991.

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39

Silbersdorff, Alexander. Analysing Inequalities in Germany: A Structured Additive Distributional Regression Approach. Springer, 2017.

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40

Klein, Nadja. Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications. Cambridge University Press, 2024.

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41

Negative Binomial Regression. Cambridfe University Press, 2007.

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42

Hilbe, Joseph M. Negative Binomial Regression. Cambridge University Press, 2008.

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43

Hilbe, Joseph M. Negative Binomial Regression. Cambridge University Press, 2007.

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44

Negative Binomial Regression. Cambridge University Press, 2007.

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45

Hilbe, Joseph M. Negative Binomial Regression. Cambridge University Press, 2011.

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46

Hilbe, Joseph M. Negative Binomial Regression. Cambridge University Press, 2011.

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47

Hilbe, Joseph M. Negative Binomial Regression. Cambridge University Press, 2011.

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48

Hilbe, Joseph M. Negative Binomial Regression. Cambridge University Press, 2012.

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49

Hilbe, Joseph M. Negative Binomial Regression. Cambridge University Press, 2012.

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50

Distribution-Free Theory of Nonparametric Regression. Springer London, Limited, 2006.

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