Add to ORKGSIGLETIB Hannover: RN 7349 (432) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman
In order to study developmental variables, for example, neuromotor development of children and adole...
The monotone rearrrangement algorithm was introduced by Hardy, Littlewood and Po ́lya as a sorting d...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN009944 / BLDSC - British Library D...
In some applications, we require a monotone estimate of a regression function. In others, we want to...
SIGLEBibliothek Weltwirtschaft Kiel C117,312 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Tech...
The goal of this thesis is to implement and experiment with a Bayesian way of estimating a (smooth) ...
In several regression problems monotonicity is a key feature of the underlying regression function. ...
Common approaches to monotonic regression focus on the case of a uni-dimensional covariate and conti...
This article provides a test of monotonicity of a regression function. The test is based on the size...
Monotonic Regression (MR) is a standard method for extracting a monotone function from non-monotonic...
Monotonic regression is a standard method for extracting a monotone function from non-monotonic data...
In a recent paper Dette, Neumeyer and Pilz (2005) proposed a new nonparametric estimate of a monoto...
A finite sample comparison is carried out for three recent nonparametric methodologies in estimating...
Single-index models are popular regression models that are more flexible than linear models and stil...
Recently, Dette et al. [A simple nonparametric estimator of a strictly increasing regression functio...
In order to study developmental variables, for example, neuromotor development of children and adole...
The monotone rearrrangement algorithm was introduced by Hardy, Littlewood and Po ́lya as a sorting d...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN009944 / BLDSC - British Library D...
In some applications, we require a monotone estimate of a regression function. In others, we want to...
SIGLEBibliothek Weltwirtschaft Kiel C117,312 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Tech...
The goal of this thesis is to implement and experiment with a Bayesian way of estimating a (smooth) ...
In several regression problems monotonicity is a key feature of the underlying regression function. ...
Common approaches to monotonic regression focus on the case of a uni-dimensional covariate and conti...
This article provides a test of monotonicity of a regression function. The test is based on the size...
Monotonic Regression (MR) is a standard method for extracting a monotone function from non-monotonic...
Monotonic regression is a standard method for extracting a monotone function from non-monotonic data...
In a recent paper Dette, Neumeyer and Pilz (2005) proposed a new nonparametric estimate of a monoto...
A finite sample comparison is carried out for three recent nonparametric methodologies in estimating...
Single-index models are popular regression models that are more flexible than linear models and stil...
Recently, Dette et al. [A simple nonparametric estimator of a strictly increasing regression functio...
In order to study developmental variables, for example, neuromotor development of children and adole...
The monotone rearrrangement algorithm was introduced by Hardy, Littlewood and Po ́lya as a sorting d...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN009944 / BLDSC - British Library D...