References
- Azzalini, A., Bowman, A.W. (1990). A look at some data on the Old Faithful geyser. Appl. Statist. 39:357–365.
- Bagai, I., Rao, B.L.S. (1996). Kernel type density estimates for positive valued random variables. Sankhya, A 57:56–67.
- Bouezmarni, T., Rolin, J.M. (2003). Consistency of the beta kernel density function estimate. Can. J. Statist. 31(1):89–98.
- Chaubey, Y., Laïb, N., Sen, A. (2010). Generalised kernel smoothing for non-negative stationary ergodic processes. J. Nonparametric Statist. 22:973–997.
- Chaubey, Y., Li, J., Sen, A., Sen, P.K. (2012). A new smooth density estimator for non-negative density etimator. J. Ind. Statist. Assoc. 50:83–104.
- Chen, S.X. (1999). Beta kernel estimators for density functions. Computat. Statist. Data Anal. 31:131–145.
- Chen, S.X. (2000a). Beta kernel smoothers for regression curves. Statistica Sinica 10:73–91.
- Chen, S.X. (2000b). Probability density function estimation using Gamma kernels. Ann. Inst. Statist. Math. 52(3):471–480.
- Chen, S.X. (2002). Local linear smoothers using asymmetric kernels. Ann. Inst. Statist. Math. 34(1):312–323.
- Fan, J. (1993). Local linear regression smoothers and their minimax efficiencies. Ann. Statist. 21(1):196–216.
- Jones, M.C., Henderson, D.A. (2007). Kernel-type density estimation on the unit interval. Biometrika 94(4):977–984.
- Marron, J.S., Ruppert, D. (1994). Transformation to reduce boundary bias in kernel density estimate. J. Roy. Statist. Soc. Ser. B 56(4):653–672.
- Mnatsakanov, R., Sarkisian, K. (2012). Varying kernel density estimation on . Statist. Probab. Lett. 82(7):1337–1345.
- Parzen, E. (1962). On the estimation of a probability density function and the mode. Ann. Math. Statist. 33:1065–1076.
- Rosenblatt, M. (1956). Remarks on some nonparametric estimates of a density function. Ann. Math. Statist. 27:832–837.
- Ruppert, D., Wand, M.P. (1992). Correcting for kurtosis in density estimation. Austral. J. Statist. 34:19–29.
- Scaillet, O. (2004). Density estimation using inverse and reciprocal inverse Gaussian kernels. Nonparametric Statist. 16(1-2):217–226.
- Schucany, W.R. (1989). Locally optimal window widths for kernel density estimation with large samples. Statist. Probab. Lett. 7:401–405.
- Wand, M.P., Marron, J.S., Ruppert, D. (1991). Transformations in density estimation (with comments). JASA 86:343–361.
- Wand, M.P., Jones, M.C. (1995). Kernel Smoothing. Boca Raton, London, New York, Washington, D.C.: Champan & Hall/CRC.