Reservoir permeability is a critical parameter for characterization of the hydrocarbon reservoirs. In fact, determination of permeability is a crucial task in reserve estimation, production and development. Traditional methods for permeability prediction are well log and core data analysis which are very expensive and time-consuming. Well log data is an alternative approach for prediction of pe...

3 Illustrative examples 4 3.1 Linear regression model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.1.1 Log transformation in the response . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.1.2 Log transformation in the explanatory variable . . . . . . . . . . . . . . . . . . . . 9 3.1.3 Log transformation in both the response and the explanatory variable ...

studies on the biometric parameters of a species to have an important role in its population or stock management and conservation. present study investigated the morphometric, meristic, length-weight relation (lwrs), length-length relation (llrs) and growth status (k and kn) of the redline torpedo barb, p. denisonii collected during august 2012 to july 2013 from river valapattanam, kerala. the ...

Modified Poisson regression, which combines a log Poisson regression model with robust variance estimation, is a useful alternative to log binomial regression for estimating relative risks. Previous studies have shown both analytically and by simulation that modified Poisson regression is appropriate for independent prospective data. This method is often applied to clustered prospective data, d...

In survival analysis applications, the failure rate function may frequently present a unimodal shape. In such case, the log-normal or log-logistic distributions are used. In this paper, we shall be concerned only with parametric forms, so a location-scale regression model based on the Burr XII distribution is proposed for modeling data with a unimodal failure rate function as an alternative to ...

Given the well known convergence difficulties in fitting log binomial regression with standard GLM software, we implement a direct solution via constrained optimization which avoids the circumventions found in the literature. The use of a log binomial model is motivated by our interest in directly estimating relative risks adjusted for confounders. A Bayesian log binomial regression model is al...