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Anastasia Kostaki, Javier M.  Moguerza, Alberto Olivares  and Stelios Psarakis

                                337–404. http://dx.doi.org/10.1090/S0002-9947-1950-0051437-7.
                             Berkeley mortality database. (2005). Retrieved on October 29, 2015 from http://www.demog.berkeley.edu/~bmd.
                             Brass W. (1971). Mortality models and their use in demography.  Transactions of  the Faculty of  Actuaries, 33:
                                123–142. http://dx.doi.org/10.1017/S0071368600005164.
                             Brockmann M, Gasser T and Herrmann E. (1993). Locally adaptive bandwidth choice for kernel regression estima-
                                tors. Journal of the American Statistical Association, 88(424): 1302–1309.
                                http://dx.doi.org/10.1080/ 01621459.1993.10476411.
                             Chandola T, Coleman D A and Hiorns R W. (1999). Recent European fertility patterns: fitting curves to ‘distorted’
                                distributions. Population Studies, 53(3): 317–329. http://dx.doi.org/10.1080/00324720308089.
                             Chandola T, Coleman D A and Hiorns R W. (2002). Distinctive features of age-specific fertility profiles in the Eng-
                                lish-speaking world: common patterns in Australia, Canada, New Zealand and the United States, 1970-98. Popu-
                                lation Studies, 56(2): 181–200. http://dx.doi.org/10.1080/00324720215929.
                             Chongfuangprinya P, Kim S B, Park S K, et al. (2011). Integration of support vector machines and control charts for
                                multivariate process monitoring.  Journal of Statistical Computation and Simulation,  81(9): 1157–1173.
                                http://dx.doi.org/10.1080/00949651003789074.
                             Coale A J and McNeil D R. (1972). The distribution by age of the frequency of first marriage in a female cohort.
                                Journal of the American Statistical Association, 67(340): 743–749.
                                http://dx.doi.org/10.1080/01621459. 1972.10481287.
                             Copas J B and Haberman S. (1983). Non-parametric graduation using kernel methods. Journal of Institute of Actuar-
                                ies, 110(1): 135–156. http://dx.doi.org/10.1017/S0020268100041275
                             Erdogan B E. (2013). Prediction of bankruptcy using support vector machines: an application to bank bankruptcy.
                                Journal of Statistical Computation and Simulation, 83(8): 1543–1555.
                                http://dx.doi.org/10.1080/00949655.2012.666550.
                             Felipe A, Guillen M and Nielsen J P. (2001). Longevity studies based on kernel hazard estimation. Insurance Mathe-
                                matics and Economics, 28(2): 191–204. http://dx.doi.org/10.1016/S0167-6687(00)00076-7.
                             Forfar D O, McCutcheon J J and Wilkie A D. (1988). On graduation by mathematical formula. Journal of the Institute
                                of Actuaries, 115(1): 1–149. http://dx.doi.org/10.1017/S0020268100042633.
                             Gasser T, Kneip A and Köhler W. (1991). A flexible and fast method for automatic smoothing. Journal of the Ameri-
                                can Statistical Society, 86(415): 643–652. http://dx.doi.org/10.1080/01621459.1991.10475090.
                             Gasser T and Müller H G. (1979). Kernel estimation of regression functions. In Th Gasser and M Rosenblatt (eds),
                                Lecture Notes  in Mathematics:  Smoothing Techniques for Curve Estimation,  757:  23–68.  Berlin:  Springer.
                                http://dx.doi.org/10.1007/BFb0098489.
                             Gasser T and Müller H G. (1984). Estimating regression functions and their derivatives by the kernel method. Scan-
                                dinavian Journal of Statistics, 11: 171–185.
                             Gavin J, Haberman S and Verrall R J. (1993). Moving weighted average graduation using kernel estimation. Insur-
                                ance: Mathematics and Economics, 12(2): 113–126. http://dx.doi.org/10.1016/0167-6687(93)90821-6.
                             Gavin J B, Haberman S and Verrall R J. (1994). On the choice of bandwidth for kernel graduation. Journal of the
                                Institute of Actuaries, 121(1): 119–134. http://dx.doi.org/10.1017/S0020268100020102.
                             Gilje E. (1969). Fitting curves to age-specific fertility rates: some examples. Statistical Review of the Swedish Na-
                                tional Central Bureau of Statistics III, 7: 118–134.
                             Gill P E and Marray W. (1978). Algorithms for the solution of a non-linear least squares problem. SIAM Journal of
                                Numerical Analysis, 15(5): 977–992. http://dx.doi.org/10.1137/0715063.
                             Hadwiger H. (1940).  Eineanalytischereprodutions-funktion fur biologischeGesamtheiten.  SkandinaviskA-
                                ktuarietidskrift. 23: 101–113.
                             Hannerz H. (1999). Methodology and Applications of a New Law of Mortality. Lund: Department of Statistics, Uni-
                                versity of Lund, Sweden.
                             Härdle W. (1990). Applied Non-parametric Regression. Cambridge: Cambridge University Press.
                                http://dx.doi.org/10.1017/CCOL0521382483.
                             Härdle W. (1991). Smoothing Techniques with Implementation in S. New York: Springer New York.
                                http://dx.doi.org/10.1007/978-1-4612-4432-5.
                             Heligman M and Pollard J H. (1980).  The  age pattern of mortality. Journal of the Institute  of Actuaries, 107(1):
                                49–80. http://dx.doi.org/10.1017/S0020268100040257.

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