The von Mises distribution is a maximum entropy distribution. It corresponds to the distribution of an angle of a compass needle in a uniform magnetic eld of direction, , with concentration parameter,. The concentration parameter, , is the ratio of the eld strength to the temperature of thermal uctuations. Previously, we obtained a Bayesian estimator for the von Mises distribution parameters us...

The von Mises model encodes a multivariate circular distribution as an undirected probabilistic graphical model. Presently, the only algorithm for performing inference in the model is Gibbs sampling, which becomes inefficient for large graphs. To address this issue, we introduce an Expectation Propagation based algorithm for performing inference in the von Mises graphical model. Our approach in...

A. The von Mises Expansion Before diving into the auxiliary results of Section 5, let us first derive some properties of the von Mises expansion. It is a simple calculation to verify that the Gateaux derivative is simply the functional derivative of in the event that T (F ) = R (f). Lemma 8. Let T (F ) = R (f)dμ where f = dF/dμ is the Radon-Nikodym derivative, is differentiable and let G be som...

We propose the use of the Von Mises distribution for circular data to model interferometric phase images. Based on the kappa parameter of the Von Mises distribution a locally adaptive phase filter is developed. A two-sided confidence interval on the kappa values is constructed, and only phase measurements where kappa values fall inside this interval are input to the filter We additionally put m...

Normal distribution has a vital role for the most of statistical methods. Box-Cox power transformation is usually applied method when data not normal. In this study, novel algorithm proposed assembling different estimates well performed six techniques through random effect model in meta analysis. These include use goodness-of-fit tests normality; Anderson–Darling, Lilliefors, Cramer-von Mises, ...

Kolmogorov–Smirnov (KS) statistic is a non-parametric based on the empirical distribution function. For one-sample case, it uses supremum distance between an function (EDF) and pre-specified cumulative (CDF). two-sample measures maximum of two EDFs. KS test, as well other EDF-based tests such Anderson-Darling (AD) test Cramer-von Mises (CvM) has been widely used in statistical analysis. To addr...

BACKGROUND Stress shielding in the cemented hip prosthesis occurs due to the mismatching in the mechanical properties of metallic stem and bone. This mismatching in properties is considered as one of the main reasons for implant loosening. Therefore, a new stem material in orthopedic surgery is still required. In the present study, 3D finite element modeling is used for evaluating the artificia...

The purpose of this paper is to examine the piston stress distribution using several thicknesses of the coating materials to achieve higher gasoline engine performance. First of all, finite element structure analysis is used to uncoated petrol piston made of aluminum alloy. Then, steel and cast iron piston materials are conducted and compared with the aluminum piston. After that, investigation ...