Journal of Advances in Applied Mathematics
Generalized Additive Model for Evaluation of Premium for Diabetic Patients
Download PDF (589.9 KB) PP. 149 - 159 Pub. Date: July 12, 2016
Author(s)
- Harmanpreet Singh Kapoor
Department of Statistics, Panjab University, Chandigarh - Kanchan Jain*
Department of Statistics, Panjab University, Chandigarh - Suresh Kumar Sharma
Department of Statistics, Panjab University, Chandigarh
Abstract
Keywords
References
[1] T. J. Hastie and R. J. Tibshirani, "Generalized Additive Models", Statistical Science, vol. 3, pp. 297-318, 1986.
[2] T. J. Hastie and R. J. Tibshirani, Generalized Additive Models, Chapman and Hall, USA,1990.
[3] J. A. Nelder and R. W. M. Wedderburn, "Generalized Linear Models", Journal of the Royal Statistical Society, Series A, vol .135, pp. 370-384, 1972.
[4] P. J. Green, " Iteratively reweighted least square for maximum likelihood estimation and some robust and resistant alternatives (with discussion)", Journal of Royal Statistical Society, Series B, vol. 46, pp. 149-192, 1984.
[5] P. McCullagh and J. A. Nelder, Generalized Linear Models, Second Edition, Chapman and Hall, UK, 1989.
[6] S. N. Wood, Generalized Additive Models: An Introduction with R, Texts in Statistical Science, Chapman and Hall, USA, 2006.
[7] C. J. Stone, "Additive Regression and Other Nonparametric Models", Annals of Statistics, vol. 13, pp. 689 -705, 1985.
[8] P. Craven and G. Wahba, "Smoothing Noisy Data with Spline Functions :Estimating the Correct Degree of Smoothing by the Method of Generalized Cross Validation", Numerische Mathematik, vol. 31, pp. 377-403, 1979.