Results 161 to 170 of about 33,613 (202)
Some of the next articles are maybe not open access.
On the lognormality of radionuclide deposition
Journal of Environmental Radioactivity, 2015The influence of the variation of soil density and the uncertainty of activity measurements on the statistical distribution of radionuclide concentrations on a site is considered. It is demonstrated that the influence of these factors adequately explains the observed deviation of radionuclide empirical probability distribution functions (empirical PDFs)
openaire +2 more sources
On the products of lognormal and cumulative lognormal particle size distributions
Journal of Aerosol Science, 1982Abstract The output distributions of particle size which would result when an input aerosol having a lognormal size distribution is passed through a size classifier (e.g. impactor) or control device (e.g. cyclone) having a cumulative lognormal penetration function are investigated theoretically.
openaire +1 more source
Journal of Statistical Planning and Inference, 2012 The lognormal distribution is currently used extensively to describe the distribution of positive random variables. This is especially the case with data pertaining to occupational health and other biological data.
Harvey J., van der Merwe A.J.
exaly +2 more sources
Journal of Applied Probability, 1981
Models have been proposed in many diverse areas to generate a lognormal distribution and the underlying idea has always been some form of the law of proportionate effect. In a sense any model must resemble this recipe: take logs and apply the central limit theorem. Our model is no exception. However our formulation is designed to encompass the previous
Brown, Gavin, Sanders, J. W.
openaire +2 more sources
Models have been proposed in many diverse areas to generate a lognormal distribution and the underlying idea has always been some form of the law of proportionate effect. In a sense any model must resemble this recipe: take logs and apply the central limit theorem. Our model is no exception. However our formulation is designed to encompass the previous
Brown, Gavin, Sanders, J. W.
openaire +2 more sources
1999
As already mentioned in sections 4.3, 5.1, 9.1 and 12.7, the normal distribution is not always completely suitable in biology because many biological variates cannot take negative numerical values and have positively skewed frequency distributions (sections 13.2 and 13.7). The lognormal distribution is often better adapted to biological data. While the
openaire +1 more source
As already mentioned in sections 4.3, 5.1, 9.1 and 12.7, the normal distribution is not always completely suitable in biology because many biological variates cannot take negative numerical values and have positively skewed frequency distributions (sections 13.2 and 13.7). The lognormal distribution is often better adapted to biological data. While the
openaire +1 more source
Approximation of the lognormal distribution as a solution to the sum of lognormal variates
Communications in Statistics - Simulation and ComputationToh Kuan Wei +5 more
openaire +1 more source