The Inverse Kullback–Leibler Method for Fitting Vector Moving Averages
In: Journal of Time Series Analysis, Band 39, Heft 2, S. 172-191
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In: Journal of Time Series Analysis, Band 39, Heft 2, S. 172-191
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In: International journal of forecasting, Band 22, Heft 1, S. 169-180
ISSN: 0169-2070
In: International journal of forecasting, Band 21, Heft 2, S. 291-302
ISSN: 0169-2070
About competency, mapping & modelling -- Introduction to the concept of competency -- History of the competency movementcom -- Developing a competency model -- About competency assessment -- Principal approaches to assessing competencies -- Designing an instrument for competency assessment -- Hrm applications using competency -- Competency based recruitment & selection -- Competency based training & development -- Competency based performance management -- Competency based career & succession planning -- Role of hr department in setting up a competency based hrm system -- Index.
In: Risk analysis: an international journal, Band 33, Heft 9, S. 1608-1619
ISSN: 1539-6924
The article proposes and investigates the performance of two Bayesian nonparametric estimation procedures in the context of benchmark dose estimation in toxicological animal experiments. The methodology is illustrated using several existing animal dose‐response data sets and is compared with traditional parametric methods available in standard benchmark dose estimation software (BMDS), as well as with a published model‐averaging approach and a frequentist nonparametric approach. These comparisons together with simulation studies suggest that the nonparametric methods provide a lot of flexibility in terms of model fit and can be a very useful tool in benchmark dose estimation studies, especially when standard parametric models fail to fit to the data adequately.