- AlbertP.S. (1999). Longitudinal data analysis (repeated measures) in clinical trials. Statistics in Medicine 18, 1707–1732.
- BogieK. M. and TrioloR. J. (2003). The effects of regular use of neuromuscular electrical stimulation on tissue health. Journal of Rehabilitation Research and Development, 40, 469–475.
- BogieK., WangX., and TrioloR.J. (2006). Long Term Prevention of Pressure Ulcers in High-risk Individuals: Experience with NMES. Archives of Physical Medicine and Rehabilitation, 87, 585–591.
- CressieN. (1993). Statistics for Spatial Data (revised edition). John Wiley and Sons, New York.
- DavisC.S. (2002). Statistical Methods for the Analysis of Repeated Measurements. N.Y.: Springer.
- DiggleP., HeagertyP., LiangK.Y. and ZegerS. (2002) Analysis of Longitudinal Data, 2nd. Edition. Oxford, New York.
- GuC. (2002). Smoothing Spline ANOVA Models. Springer-Verlag, New York.
- Häuml;rdleW. MullerM., SperlichS., and WerwatzA. (2004). Nonparametric and Semiparametric Modelsz: An Introduction. Springer-Verlag, New York.
- HastieT. J. and TibshiraniR. J. (1990). Generalized Additive Models. Chapman & Hall, London.
- KammannE.E. and WandM.P. (2003). Geoadditive models. Applied Statistics, 52, 1–18.
- KimeldorfG. S., and WahbaG. (1971). A correspondence between Bayesian estimation on stochastic processes and smoothing by splines. Annals of Mathematical Statistics, 41, 495–502.
- O'ConnellM. and WolfingerR. (1997). Spatial regression models, response surfaces and process optimization. Journal of Computational and Graphical Statistics. 6, 224–241.
- RuppertD. (2002). Journal of Computational and Graphical Statistics 11, 735–757.
- RuppertD., WandM. P., and CarrollR. J. (2003). Semiparametric Regression. Cambridge University Press, New York.
- ScottD. W. (1992). Multivariate Density Estimation: Theory, Practice, and Visualization. John Wiley & Sons, New York.
- SelfS. G. and LiangK. Y. (1987). Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under non-standard conditions. Journal of the American Statistical Association, 82 605–610.
- SimonoffJ. S. (1996). Smoothing Methods in Statistics. Springer-Verlag, New York.
- SpeckmanP. (1988). Kernel smoothing in partial linear models. Journal of the Royal Statistical Society, Series B, 50, 413–436.
- SteinM.L. (1999). Interpolation of Spatial Data: Some Theory for Kriging. Springer, New York.
- WahbaG. (1990). Spline Models for Observational Data. Regional Conference Series in Applied Mathematics 59, SIAM, Philadelphia.
- WangX., SunJ. and BogieK. (2006). Spatial-temporal data mining procedure: LASR. IMS Lecture Notes-Monograph Series: Recent Development in Nonparametric Inference and Probability, 50, 213–231.
American Journal of Mathematical and Management Sciences
Volume 28, 2008 - Issue 3-4: Special Volume, SCMA Volume I. Confluence of the Mathematical Sciences (Statistics, Combinatorics, Mathematics, and Applications), Proceedings of the International Conference on Statistics, Combinatorics, Mathematics, and Applications (SCMA), Auburn University, Auburn, Alabama, U.S.A.