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A Nonparametric Population Pharmacokinetic Model of Selumetinib in Pediatric Patients Diagnosed With Neurofibromatosis-I or Plexiform Neurofibromas. [PDF]

CPT Pharmacometrics Syst Pharmacol
Köllő Z, Kovács J, Neely MN, Vásárhelyi B, Brückner E, Szabo AJ, Garami M, Karvaly GB.   +7 more
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Nonparametric nonstationary regression

, 2008
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A nonparametric regression method

Nonlinear Analysis: Theory, Methods & Applications, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, M. L., Brill, P. H.
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Applied Nonparametric Regression.

Applied Statistics, 1992
Preface Part I. Regression Smoothing: 1. Introduction 2. Basic idea of smoothing 3. Smoothing techniques Part II. The Kernel Method: 4. How close is the smooth to the true curve? 5. Choosing the smoothing parameter 6. Data sets with outliers 7. Smoothing with correlated data 8. Looking for special features (qualitative smoothing) 9.
M. C. Jones, W. Hardle
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Nonparametric Regression and Classification Part I—Nonparametric Regression

1994
In classical statistics, regression means linear regression. Recently, more flexible regression tools have been developed, that exploit the dramatic increase in computing power and speed. In this paper we describe some of these developments. The main background reference is Hastie and Tibshirani (1990).
T. J. Hastie, R. J. Tibshirani
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Nonparametric Regression Estimation

2002
The basic aim of mathematical statistics is to learn a probability law or its characteristics from data.
L. Györfi, M. Kohler
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Multivariate Nonparametric Regression

2008
As in many areas of biostatistics, oncological problems often have multivariate predictors. While assuming a linear additive model is convenient and straightforward, it is often not satisfactory when the relation between the outcome measure and the predictors is either nonlinear or nonadditive.
Charles Kooperberg, Michael LeBlanc
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Nonparametric Regression

2001
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