Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jona Lilienthal"'
Publikováno v:
Statistics in Medicine.
In Bayesian meta-analysis, the specification of prior probabilities for the between-study heterogeneity is commonly required, and is of particular benefit in situations where only few studies are included. Among the considerations in the set-up of su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe6be480e2c114272709cb9c85b157b
https://doi.org/10.1002/sim.9731
https://doi.org/10.1002/sim.9731
Publikováno v:
Environmetrics. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e5d5a9ee9132eae015eeb4977147f12
https://doi.org/10.1002/env.2746
https://doi.org/10.1002/env.2746
Publikováno v:
Extremes. 24:325-348
A common statistical problem in hydrology is the estimation of annual maximal river flow distributions and their quantiles, with the objective of evaluating flood protection systems. Typically, record lengths are short and estimators imprecise, so th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f8f682dbe38ab1ece63abf134756d70
https://doi.org/10.1007/s10687-020-00379-y
https://doi.org/10.1007/s10687-020-00379-y
Publikováno v:
Journal of Hydrology. 556:557-571
In regional flood frequency analysis the homogeneity of a group of stations is an essential assumption. A standard procedure in hydrology to evaluate this condition is the homogeneity measure of Hosking and Wallis, which applies L-moments. Disadvanta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e63b85a2226368203423022daf985f4
https://doi.org/10.1016/j.jhydrol.2017.10.056
https://doi.org/10.1016/j.jhydrol.2017.10.056
Publikováno v:
Environmetrics. 27:103-115
This paper deals with inference on extremes of heavy-tailed distributions. We assume distribution functions F of Pareto-type, where the right-tail behavior of F is characterized by a strictly positive parameter γ, the so-called extreme value index (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::416ab51d7d2cee8788ba690acc1b58e4
https://doi.org/10.1002/env.2376
https://doi.org/10.1002/env.2376
Autor:
Heiner Bollwein, Jona Lilienthal, W Mysegades, Andreas Hoeflich, Akio Miyamoto, Uwe Ligges, Marion Piechotta
A study involving a small number of cows found that the concentrations of insulin-like growth hormone 1 (IGF1) may be a useful predictor of metabolic disease. Further, IGF1 may provide also a pathophysiological link to metabolic diseases such as keto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc5f6ddbea5ccb5f245d338336c493af
https://doi.org/10.5167/uzh-109616
https://doi.org/10.5167/uzh-109616
