Page
%P
-
Article
High sexual signalling rates of young individuals predict extended life span in male Mediterranean fruit flies
In a laboratory study, we monitored the lifetime sexual signalling (advertisement) of wild male Mediterranean fruit flies, and we tested the hypothesis that high lifetime intensity of sexual signalling indicat...
-
Book
-
Chapter
Statistical Tools for the Analysis of Nutrition Effects on the Survival of Cohorts
We discuss various methods which can be employed for the comparative analysis of samples of response curves. In the application discussed here, these curves are hazard functions, each generated by the survival...
-
Chapter
Statistical Models for Quantitative Bioassay
We discuss various statistical approaches useful in the analysis of nutritional dose-response data with a continuous response. The emphasis is on the multivariate case with several predictors. The methods whic...
-
Article
Surface and function approximation with nonparametric regression
Several methods are considered for the reconstruction of smooth functions and surfaces from noisy measurements. These methods are statistically motivated and belong to the area of nonparametric regression. The...
-
Article
Substrate specificity and stereoselectivity of fatty alcohol oxidase from the yeast Candida maltosa
In Candida maltosa and other alkene-utilizing yeasts a membrane-bound fatty alcohol oxidase (FAOD) is induced by growth on n-alkenes. The oxidation of 1-alkanols to the corresponding aldehydes is accompanied by t...
-
Chapter
Applications of Multiparameter Weak Convergence for Adaptive Nonparametric Curve Estimation
We give an overview on applications of weak convergence of stochastic processes to obtain adaptive nonparametric curve estimators through efficient data-based local bandwidth choices. We point out new developm...
-
Article
Locally adaptive hazard smoothing
We consider nonparametric estimation of hazard functions and their derivatives under random censorship, based on kernel smoothing of the Nelson (1972) estimator. One critically important ingredient for smoothi...
-
Article
A hypothesis on the abnormal seasonality of schizophrenic births
The hypothesis is proposed that the abnormal seasonality of schizophrenic births is partly a consequence of seasonal variation of conception and of an associated seasonal variation of risk of premature delivery.
-
Book
-
Chapter
Introduction
If we analyse longitudinal data, we are usually interested in the estimation of the underlying curve which produces the observed measurements. This curve describes the time course of some measured quantity lik...
-
Chapter
Further Applications
The remarks made here concern typical problems in the medical field which can as well be encountered in other fields of application. Longitudinal medical data are not only collected with the aim of description...
-
Chapter
Nonparametric Regression Methods
Besides kernel estimators, commonly used nonparametric regression estimators are local least squares estimators and smoothing splines. Besides these estimators, we also discuss orthogonal series estimators whi...
-
Chapter
Fortran Routines for Kernel Smoothing and Differentiation
The programs listed below are suited for kernel estimation and differentiation (υ=0–3) with estimators (4.4); various kernels of different orders can be chosen and there are two options for bandwidth choices: ...
-
Chapter
Nonparametric Estimation of the Human Height Growth Curve
As an example of an application of some of the methods discussed before, the analysis of the human height growth curve by nonparametric regression methods is considered. The data that are analysed were obtaine...
-
Chapter
Longitudinal Data and Regression Models
There exist several kinds of longitudinal data, i.e., measurements (observations) of the same quantity (occurrence) on the same subject at different time points, each of which requires different methods for an...
-
Chapter
Consistency Properties of Moving Weighted Averages
We consider here the usual fixed design regression model $$ Y_{i,n} {\text{ = g(t}}_{i,n} ) + \varepsilon _{i,n} $$ with tri...
-
Chapter
Kernel and Local Weighted Least Squares Methods
It is assumed from now on that in the model (2.1) $$ {\text{Y}}_i {\text{,n-g(t}}_{i,n} ) + \varepsilon _{i,n} {\text{ ,i = 1,}}...{\text{,n}}...
-
Chapter
Multivariate Kernel Estimators
The kernel estimate (4.4) can be generalized to the case of a multivariate regression function g: A → ℝ where A ⊂ ℝm, m ≥ 1. The proofs usually can be generalized from the univariate case without difficulty. Ther...
-
Chapter
Longitudinal Parameters
In biomedical settings, a common problem is the comparison and description of samples of curves. Assuming there are N subjects and nj measurements are made for the j-th subject, we might describe the situation by...
