the problem of hypothesis testing with a nuisance parameter is considered. two methods forusing fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. these methods areneither a pure classical nor a pure bayesian approach to hypothesis testing, but rather related to both. afew known examples and their applications, which cannot be studied by the parametric statisticalmethod...

scott and szewczyk in technometrics, 2001, have introduced a similarity measure for twodensities f1 and f2 , by1, 21 21 1 2 2( , ), ,f fsim f ff f f f< >=< >< >wheref1, f2 f1(x, θ1)f2(x, θ2)dx.+∞−∞< >=∫sim(f1, f2) has some appropriate properties that can be suitable measures for the similarity of f1 and f2 .however, due to some restrictions on the value of parameters and the kind of densities, ...

The equation for the response to selection is a powerful analysis and modeling tool for genetic algorithms In this paper we extend the classical analysis which is re stricted to a normal distribution to skew tness distribu tions We show that for a small number of variables the Gamma distribution ts the distribution of the tness val ues better than a normal distribution We compute the se lection...

| The equation for the response to selection is a powerful analysis and modeling tool for genetic algorithms. In this paper we extend the classical analysis which is restricted to a normal distribution to skew tness distributions. We show that for a small number of variables the Gamma distribution ts the distribution of the tness values better than a normal distribution. We compute the selectio...

abstract in recent years, many researchers have attempted to estimate the soil hydraulic functions (e.g. soil moisture characteristics curve, and hydraulic conductivity function) using particle-size distribution (psd) curve. in these studies, an accurate mathematical representation of psd is required for fitting the observed data. so far, some mathematical models were developed with different l...

The statistics of intermittent ocean turbulence is the key link between physical understanding and its global implications. log-normal distribution standard but imperfect assumed for turbulent kinetic energy dissipation rate. We argue that as often generated by multiple changing sources, a log-skew-normal (LSN) more appropriate. show LSN agrees excellently robustly with observations. heavy tail...