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For the problem of checking linearity in a heteroscedastic nonparametric regression model under a fixed design assumption we study maximin designs which maximize the minimum power of a nonparametric test over a broad class of alternatives from the assumed linear regression model. It is...
Persistent link: https://www.econbiz.de/10010955411
The incidence of a disease can be easily estimated from serial prevalence data. However, difficulties usually arise in the case of prevalence data measured only once. This paper presents and assesses various methods for estimating the incidence of a disease in the latter case. The focus is on...
Persistent link: https://www.econbiz.de/10010955412
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Persistent link: https://www.econbiz.de/10010955414
A basic part in the risk assessment of potential carcinogens is the determination of toxicokinetic parameters. The partition of the xenobiotic in the body of experimental animals is a first step of the biochemical pathway of the formation of DNA adducts which might lead to the development of...
Persistent link: https://www.econbiz.de/10010955416
In this paper we derive asymptotic x 2 - tests for general linear hypotheses on variance components using repeated variance components models. In two examples, the two-way nested classification model and the two-way crossed classification model with interaction, we explicitly investigate the...
Persistent link: https://www.econbiz.de/10010955417
In this paper we use 4 different time series models to forecast sales in a goods management system. We use a variety of forecast combining techniques and measure the forecast quality by applying symmetric and asymmetric forecast quality measures. Simple, rank-, and criteria-based combining...
Persistent link: https://www.econbiz.de/10010955418
Persistent link: https://www.econbiz.de/10010955419
In this paper we present a new method for estimating genetic parameters of an F2- generation model. Using an iterative algorithm we derive explicit expressions for the Maximum Likelihood estimates of the additive and dominance effects. Finally we calculate the variance covariance matrix of our...
Persistent link: https://www.econbiz.de/10010955420
This paper discusses whether differences in the data structure of observational and experimental studies should lead to different strategies for variable selection. On the one hand, it is argued that outliers in the predictor variables have to be treated differently in the two kinds of studies....
Persistent link: https://www.econbiz.de/10010955421