Modeling of geogenic radon in Switzerland based on ordered logistic regression
نویسندگان
چکیده
منابع مشابه
Mapping geogenic radon potential by regression kriging.
Radon ((222)Rn) gas is produced in the radioactive decay chain of uranium ((238)U) which is an element that is naturally present in soils. Radon is transported mainly by diffusion and convection mechanisms through the soil depending mainly on the physical and meteorological parameters of the soil and can enter and accumulate in buildings. Health risks originating from indoor radon concentration...
متن کاملComparison of ordinary logistic regression and robust logistic regression models in modeling of pre-diabetes risk factors
Background: Regarding the increased risk of developing type 2 diabetes in pre-diabetic people, identifying pre-diabetes and determining of its risk factors seems so necessary. In this study, it is aimed to compare ordinary logistic regression and robust logistic regression models in modeling pre-diabetes risk factors. Methods: This is a cross-sectional study and conducted on 6460 people, over ...
متن کاملMapping the geogenic radon potential in Germany.
Mapping the geogenic radon potential in Germany is a research project initiated by the German Federal Ministry for the Environment, Conservation and Reactor Safety. The project was aimed to develop a standard methodology for the estimation of a geogenic radon potential and to apply this method to map the region of Germany as an overview for planning purposes. The regionalisation results from a ...
متن کاملMerging Strategy Based on Logistic Regression
With the development of network technology, the users looking for information may send a request to various selected databases and then inspect multiple result lists. To overcome such multiple inspections, the database merging strategy involves the merging of the retrieval results produced by separate, autonomous servers into an effective, single ranked list. To achieve this merging, this study...
متن کاملTransfer Learning Based on Logistic Regression
In this paper we address the problem of classification of remote sensing images in the framework of transfer learning with a focus on domain adaptation. The main novel contribution is a method for transductive transfer learning in remote sensing on the basis of logistic regression. Logistic regression is a discriminative probabilistic classifier of low computational complexity, which can deal w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Environmental Radioactivity
سال: 2017
ISSN: 0265-931X
DOI: 10.1016/j.jenvrad.2016.06.007