The generalized Pareto (GP) distribution is useful in modeling extreme value data, because of its long tail feature. In this paper, a new generalized version of this distribution which is called the beta generalized Pareto (BGP) distribution is introduced. A new distribution is more flexible and...

Gamma distributions are some of the most popular models for hydrological processes. In this paper, a very flexible family which contains the gamma distribution as a particular case is introduced. Evidence of flexibility is shown by examining the shape of its probability density function (pdf). A...

The mathematical modeling of the unsaturated flow problem requires the simultaneous resolution of two problems: the Richards equation and the estimation of the hydraulic parameters involved in hydraulic conductivity and in the retention curve. Various techniques have been applied to both...

The Davis Growth Model (a dynamic steer growth model encompassing 4 fat deposition models) is currently being used by the phenotypic prediction program of the Cooperative Research Centre (CRC) for Beef Genetic Technologies to predict P8 fat (mm) in beef cattle to assist beef producers meet...

This paper concerns with the development of a direct parameter identification procedure for a class of nonlinear reaction–diffusion equations. We assume to know the model equations with the exception of a set of constant parameters, such as diffusivity and reaction term parameters. Using the...

In this paper we present the results of a time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill.

A method for parameter estimation of two time-scale model of photosynthesis and photoinhibition is presented.