This volume describes the major results and findings from a long-term study on the potential effects that the Calvert Cliffs Nuclear Power Plant might have on the biology of the mid-portion of Chesapeake Bay. The data base is sufficiently large to permit characterization of domi…
This volume describes the major results and findings from a long-term study on the potential effects that the Calvert Cliffs Nuclear Power Plant might have on the biology of the mid-portion of Chesapeake Bay. The data base is sufficiently large to permit characterization of domi…
The environmental implications of generating electric power from nuclear fission have been a matter of concern since the construction of the earliest nuclear reactors and power stations in the 1950s. After two or more decades of construction of nuclear power stations, this cease…
Nuclear sites become contaminated with radionuclides due to accidents and activities carried out without due consideration for the environment. Naturally-occurring radioactive materials (NORM) released by industrial processes such as coal power production and fertilizer manufact…
"Nuclear sites become contaminated with radionuclides due to accidents and activities carried out without due consideration for the environment. Naturally occurring radioactive materials (NORM) released by industrial processes such as coal power production and fertilizer manufac…
Nuclear sites become contaminated with radionuclides due to accidents and activities carried out without due consideration for the environment. Naturally-occurring radioactive materials (NORM) released by industrial processes such as coal power production and fertilizer manufact…
The De Gruyter Series in Mathematics and Life Sciences is devoted to the publication of monographs in the field. They cover topics and methods in fields of current interest that use mathematical approaches to understand and explain, model and influence phenomena in all areas of …
This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part,…