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The secondary structure classification of amino acid sequences can be carried out by a statistical analysis of sequence and structure data using state-space models. Aiming at this classification, a modified filter algorithm programmed in S is applied to data of three proteins. The application...
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As high dimensional data occur as a rule rather than an exception in critical care today, it is of utmost importance to improve acquisition, storage, modelling and analysis of medical data, which appears feasible only with the help of bedside computers. The use of clinical information systems...
Persistent link: https://www.econbiz.de/10010955405
In their paper, Davies and Gather (1993) formalized the task of outlier identification, considering also certain performance criteria for outlier identifiers. One of those Criteria, the maximum asymptotic bias, is carried over here to multivariate outlier identifiers. We show how this term...
Persistent link: https://www.econbiz.de/10010955406
In combining several tests of significance the individual test statistics are allowed to be dependent. By choosing the weighted inverse normal method for the combination, the dependency of the original test statistics is then characterized by a correlation of the transformed statistics. For this...
Persistent link: https://www.econbiz.de/10010955407
In this paper we propose a simulation study in order to discuss four statistical models dealing with the problem of parameter estimation in enzyme-kinetics. The pseudo-maximumlikelihood estimators for the transform-both-sides-model and the weighted TBS-model are compared with...
Persistent link: https://www.econbiz.de/10010955408
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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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