Spline Semiparametric Regression Models
DOI:
https://doi.org/10.31642/JoKMC/2018/020301Keywords:
Spline, Penalized spline, Mixed Models, Semiparametric, Regression, knots, cross-validation.Abstract
In this paper, we study semiparametric regression models with spline smoothing, and determining the numbers of knots and their locations by using some statistical criteria, a simulation model has been performed.Downloads
References
Claeskens, G., krivobokova, T. and Opsomer, J.D.(2009) ''Asymptotic properties of penalized spline '' Biometrika, 96,529-544. DOI: https://doi.org/10.1093/biomet/asp035
de Boor , C. (1978) '' Aproactical Guide to splines '' springer, New York. DOI: https://doi.org/10.1007/978-1-4612-6333-3
Eubak , R.(1990) '' Smoothing splines and nonparametric regression '' Marcel Dekker, New york.
Fan, J. and Gijbels, I. (1996) '' Local polynomial modeling and it's applications '' Chapman and Hall, London.
Green, P. and silverman, B. (1994) '' Nonparametric regression and generalized linear models '' Chapman and Hall, London. DOI: https://doi.org/10.1007/978-1-4899-4473-3
Hastie, T. and Tibshirani, R. (1990) '' Generalized additive models '' Chapman and Hall, London.
Langs, K. (2010) '' Numerical Analysis for statisticians '' second edition, springer.
Motair, Hafed M. (2011) '' A comparison of some nonparametric regression smoothing methods using simulation '' M.Sc thesis, university of al-Qadisiyah, college of computer sciences and mathematics.
Montgomery, D.,C. and Peck, E.,A. (1982) '' Introduction to linear regression analysis ''John Wiley & Sons.
Natio, k. (2002) '' Semiparametric regression with multiplicative adjustment '' Communications in statistics, Theory and methods 31 2289-2309. DOI: https://doi.org/10.1081/STA-120017226
Neter, J. and, Wasserman, W. (1974) '' Applied linear statistical models, regression, analysis of variance and experimental designs '' Richard. D. IRWIN, INC.
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Copyright (c) 2023 Ameera Jaber Mohaisen, Ammar Muslim Abdulhussein
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