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1

Härdle, Wolfgang. Smoothing Techniques. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-4432-5.

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2

Wand, M. P., and M. C. Jones. Kernel Smoothing. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-4493-1.

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3

C, Jones M., ed. Kernel smoothing. London: Chapman & Hall, 1995.

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4

Caballero, Ricardo J. Smoothing sudden stops. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2001.

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5

Hirukawa, Masayuki. Asymmetric Kernel Smoothing. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5466-2.

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6

Schimek, Michael G., ed. Smoothing and Regression. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2000. http://dx.doi.org/10.1002/9781118150658.

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7

Caballero, Ricardo J. Smoothing sudden stops. Cambridge, MA: National Bureau of Economic Research, 2001.

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8

Koenker, Roger W. Quantile smoothing splines. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1992.

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9

Koenker, Roger W. Quantile smoothing splines. [Urbana, Ill]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1991.

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10

Koenker, Roger W. Quantile smoothing splines. Champaign: University of Illinois at Urbana-Champaign, 1993.

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11

Horová, Ivana. Kernel smoothing in MATLAB: Theory and practice of Kernel smoothing. Singapore: World Scientific Pub. Co., 2012.

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12

Gu, Chong. Smoothing Spline ANOVA Models. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5369-7.

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13

Hu, Xiaolong. Smoothing a Critical Transition. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4035-6.

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14

Hyndman, Rob, Anne Koehler, Keith Ord, and Ralph Snyder. Forecasting with Exponential Smoothing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71918-2.

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15

Simonoff, Jeffrey S. Smoothing Methods in Statistics. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-4026-6.

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16

Gu, Chong. Smoothing Spline ANOVA Models. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3683-0.

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17

Simonoff, Jeffrey S. Smoothing methods in statistics. New York: Springer, 1996.

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18

Pollock, S. Smoothing with cubic splines. London: London University, Queen Mary and Westfield College, Department of Economics, 1993.

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19

Center, Ames Research, ed. Smoothing the second law. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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20

Ashworth, John. Seigniorage and tax smoothing: Testing the extended tax-smoothing model in developing countries. Durham: University of Durham, Department of Economics, 1996.

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21

Rohwer, Carl. Nonlinear Smoothing and Multiresolution Analysis. Basel: Birkhäuser Basel, 2005. http://dx.doi.org/10.1007/3-7643-7382-2.

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22

Magni, Domitilla. New Perspectives of Profit Smoothing. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21286-5.

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23

Smoothing splines: Methods and applications. Boca Raton, FL: CRC Press, 2011.

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24

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

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25

Black, Fischer. Mean reversion and consumption smoothing. Cambridge, MA: National Bureau of Economic Research, 1989.

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26

1952-, Eubank Randall L., ed. Nonparametric regression and spline smoothing. 2nd ed. New York: Marcel Dekker, 1999.

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27

Grossman, Herschel I. Sovereign debt and consumption smoothing. Cambridge, MA: National Bureau of Economic Research, 1997.

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28

Moses, O. Douglas. Income smoothing - methodology and models. Monterey, Calif: Naval Postgraduate School, 1986.

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29

Nonlinear smoothing and multiresolution analysis. Basel: Birkhäuser Verlag, 2005.

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30

Scott, Andrew. Does tax smoothing imply smooth taxes? London: Centre for Economic Performance, 1999.

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31

Ghosh, Sucharita. Kernel Smoothing: Principles, Methods and Applications. Oxford, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118890370.

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32

Riedel, Kurt S. Smoothing spline growth curves with covariates. New York: Courant Institute of Mathematical Sciences, New York University, 1992.

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33

Allen, Franklin. Financial markets, intermediaries, and intertemporal smoothing. Philadelphia: Federal Reserve Bank of Philadelphia, Economic Research Division, 1995.

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34

Härdle, Wolfgang. Smoothing techniques: With implementation in S. New York: Springer-Verlag, 1991.

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35

Statistics Canada. Analytical Studies Branch. Smoothing procedures for simulated longitudinal microdata. Ottawa, Ont: Statistics Canada, 1990.

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36

Lettau, Martin. Preferences, consumption smoothing, and risk premia. London: Centre for Economic Policy Research, 1997.

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37

Härdle, W. Smoothing techniques: With implementation in S. New York: Springer-Verlag, 1991.

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38

Arseneau, David M. Tax smoothing in frictional labor markets. Washington, D.C: Federal Reserve Board, 2009.

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39

F, Gentleman Jane, Robertson D, and Monica Tomiak, eds. Smoothing procedures for simulated longitudinal microdata. [Ottawa, Ont.]: Statistics Canada, 1990.

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40

Dokko, Yoon. Dividend signaling and smoothing: A note. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1988.

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41

Tibshirani, Robert. Smoothing methods for the study of synergism. Toronto: University of Toronto, Dept. of Statistics, 1989.

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42

Weinert, Howard L. Fixed Interval Smoothing for State Space Models. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1691-0.

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43

Härdle, Wolfgang, and Michael G. Schimek, eds. Statistical Theory and Computational Aspects of Smoothing. Heidelberg: Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-642-48425-4.

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44

Wang, Yuedong. Smoothing Splines. Chapman and Hall/CRC, 2011. http://dx.doi.org/10.1201/b10954.

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45

Wand, M. P., and M. C. Jones. Kernel Smoothing. Chapman and Hall/CRC, 1994. http://dx.doi.org/10.1201/b14876.

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46

Jones, M. C., and M. P. Wand. Kernel Smoothing. Taylor & Francis Group, 1994.

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47

Marx, Brian D., and Paul H. C. Eilers. Practical Smoothing. Cambridge University Press, 2021.

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48

Jones, M. C., and M. P. Wand. Kernel Smoothing. Taylor & Francis Group, 1994.

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49

Schimek, Michael G. Smoothing and Regression. Wiley & Sons, Incorporated, John, 2014.

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50

Stasinopoulos, Mikis D., Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, and Fernanda De Bastiani. Flexible Regression and Smoothing. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b21973.

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