Methodologies related with information theory have been increasingly used in studies in economics and management. In this paper we use Generalized Maximum Entropy as an alternative to the Ordinary Least Squares in the estimation of utility functions. We estimated linear, logarithmic and power utility functions as well as confidence intervals and in order to compare both methodologies. Results p...

The baryon axial currents are calculated at one–loop order in heavy baryon chiral perturbation theory by employing both a cutoff and dimensional regularization. Data from the semileptonic baryon decays is used to perform a least–squares fit to the two axial couplings D and F of the effective Lagrangian. Predictions for the momentum dependent axial form factors are made and the two different reg...

Neutrino-nucleus elastic scattering is reduced in dense matter because of correlations between ions. The static structure factor for a plasma of electrons and ions is calculated from Monte Carlo simulations and parameterized with a least squares fit. Our results imply a large increase in the neutrino mean free path. This strongly limits the trapping of neutrinos in a supernova by coherent neutr...

Goodness of fit test procedures for the zeta parametric family based on quadratic distances and the Box--Cox transform are developed. Test statistics based on quadratic distances are shown to follow a chi-square distribution asymptotically. Test procedures based on the Box-Cox transform make use of the estimator of the parameter introduced by the Box-Cox transform, and numerical computations ar...

Interpreting entropy as a prior probability suggests a universal but “purely empirical” measure of “goodness of fit”. This allows statistical techniques to be used in situations where the correct theory — and not just its parameters — is still unknown. As developed illustratively for least-squares nonlinear regression, the measure proves to be a transformation of the R statistic. Unlike the lat...

Submit Manuscript | http://medcraveonline.com Abbreviations: EOD: End Of Dive; OTF: On The Fly; GM: Gas Model; BM: Bubble Model; EOS: Equation-Of-State; OT: Oxygen Toxicity; DAN: Divers Alert Network; LANL: Los Alamos National Laboratory; PDE: Project Dive Exploration; DSL: Diving Safety Laboratory; CNS: Central Nervous System; WLM: WeibullLevenberg-Marquardt; NLLS: Non Linear Least Squares Dat...

This paper presents a sustain-pedal effect simulation algorithm for piano synthesis, by using parallel second-order filters. A robust two-step filter design procedure, based on frequency-zooming ARMA modeling and least squares fit, is applied to calibrate the algorithm from impulse responses of the soundboard and the string register. The model takes into account the differences in coupling betw...

Given a collection of unorganised points in space, we present a new method of constructing a surface which approximates this point cloud. The surface is defined implicitly as the isosurface of a trivariate volume model. The volume model is piecewise linear and obtained as a least squares fit to data derived from the point cloud. The original point cloud input is assigned a zero value. Additiona...

Weibull distribution was used to fit tree diameter data collected from 86 sample plots located in Chinese pine stand in Beijing. To estimate the Weibull distribution parameters, three methods [namely maximum likelihood estimation method (MLE), method of moment (MOM) and least-squares regression method (LSM)] were compared and evaluated on the basis of the mean square error (MSE) and sample size...

Although some of the lÝnear curve fitting techniques provide improvements over the classicalleast squares fit algorithm,most of them cannot globally stabilize majority of data sets, and are not robust enough to handIe moderate levels of noise or missing data. In this paper, we apply "ridge regression regularization" to strengthen the stability and robustness of a linear fitting method, 3L fitti...