Maximum kernel likelihood estimation

Journal of Computational and Graphical Statistics

Volumn 17, Issue 4, 2009, Pages 976-993

  Jaki, Thomas ^a   Webster West, R ^b  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Bandwidth; Binning; Kernel density estimation; Maximum likelihood estimation

Indexed keywords

EID: 64249148851     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/106186008X387057     Document Type: Article

References (15)

1. Davison, A. C., and Hinkley, D. V. (1997), Bootstrap Methods and their Applications, Cambridge Series in Statistical and Probabilistic Mathematics, Cambridge University Press.
2. Hoaglin, D. C., Mosteller, F., and Tukey, J. W. (1983), Understanding Robust and Exploratory Data Analysis, Wiley series in Probability and Statistics, New York: Wiley.
3. Hodges, J. R., and Lehmann, E. L. (1963), "Estimates of Location Based on Rank Tests," Annals of Mathematical Statistics, 34, 598-611.
4. Hogg, R. V. (1974), "Adaptive Robust Procedures: A Partial Review and Some Suggestions for Future Applications and Theory," Journal of the American Statistical Association, 69, 909-922.
5. Jaki, T. (2008), MKLE: Maximum Kernel Likelihood Estimation., R package version 0.04.
6. Kraft, C. H., Lepage, Y., and van Eeden, C. (1985), "Estimation of a Symmetric Density Function," Communications in Statistics: Theory and Methods, 14, 273-288.
7. Leger, C., and Romano, J. P. (1990), "Bootstrap Adaptive Estimation: The Trimmed-Mean Example," The Canadian Journal of Statistics, 18, 297-314.
8. Nadaraya, E. A. (1964), "On Estimating Regression," Theory of Probability and its Applications, 9, 141-142.
9. Parzen, E. (1962), "On Estimation of a Probability Density Function and Mode," The Annals of Mathematical Statistics, 33, 1065-1076.
10. R Development Core Team (2008), R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria.
11. Rosenblatt, M. (1956), "Remarks on Some Nonparametric Estimates of a Density Function," The Annals of Mathematical Statistics, 27, 832-837.
12. Silverman, B. W. (1982), "Algorithm AS 176: Kernel Density Estimation using the Fast Fourier Transform," Applied Statistics, 31, 93-99.
13. -, (1986), Density Estimation for Statistics and Data Analysis (2nd ed.), New York: Chapman & Hall.
14. Stigler, S. M. (1977), "Do Robust Estimators Work with Real Data?" The Annals of Statistics, 5, 1055-1098.
15. Watson, G. S. (1964), "Smooth Regression Analysis," Sankhyā, Ser. A, 26, 359-372.