background and aim: an important criterion for success assessment of implant-supported prostheses is marginal fit. vertical and horizontal discrepancy can result in loosening of the prosthetic screw, crestal bone resorption, peri-implantitis and loss of osseointegration. despite careful attention to waxing, investing, and casting, marginal discrepancies are inevitable. the aim of this study was...

objective: this experimental in vitro study compared marginal adaptation of indirect composite, glass-ceramic inlays and direct composite. materials and methods: seventy-five recently extracted human molars were randomly divided into three groups (n=25) and mesio-occluso-distal cavities with the same dimensions were prepared in the teeth. indirect composite and glass-ceramic inlays were fabrica...

Natural ecosystems benefit human communities by providing ecosystem services such as water purification and crop pollination. Mapping ecosystem service values has become popular, but most are static snapshots of average value. Estimating instead the economic impacts of specific ecosystem changes can better inform typical resource decisions. Here we develop an approach to mapping marginal values...

This paper considers some fundamental questions concerning marginally trapped surfaces, or apparent horizons, in Cauchy data sets for the Einstein equation. An area estimate for outermost marginally trapped surfaces is proved. The proof makes use of an existence result for marginal surfaces, in the presence of barriers, curvature estimates, together with a novel surgery construction for margina...

This research combined three distinctly unique and separate measures of corruption into one corruption factor, so as to yield a robust measurement approach to further understand the political and socioeconomic variables of corruption. The findings show that a strong significant variable in measuring corruption is the personal marginal-tax rate, especially in hierarchical based nations. The high...

In this paper, we provide a method for modelling stationary time series. We allow the family of marginal densities for the observations to be speci ed. Our approach is to construct the model with a speci ed marginal family and build the dependence structure around it. We show that the resulting time series is linear with a simple autocorrelation structure. In particular, we present an original ...

We introduce a flexible marginal modelling approach for statistical inference for clustered/longitudinal data under minimal assumptions. This estimated estimating equations (EEE) approach is semiparametric and the proposed models are fitted by quasi-likelihood regression, where the unknown marginal means are a function of the fixed-effects linear predictor with unknown smooth link, and variance...

A Bayesian analysis is used to detect a change-point in a sequence of independent random variables from exponential distributions. In This paper, we try to estimate change point which occurs in any sequence of independent exponential observations. The Bayes estimators are derived for change point, the rate of exponential distribution before shift and the rate of exponential distribution after s...

We are developing a new approach to traffic characterization motivated by the traffic-queue analysis techniques of effective bandwidth and the use of log moment generating functions. A generic representation of traffic exhibiting nonGaussian marginal and long range dependence is modeled by three dissimilar stochastic models. Generated traces of the model traffic are put to test in a G/D/1/1 sys...

Sklar’s theorem allows the construction of models for dependent components using a multivariate copula together with marginal distributions. For estimation of the copula and marginal parameters, a two step procedure is often used to avoid high dimensional optimization. Here, marginal parameters are estimated first, then used to transform to uniform margins and in a second step, the copula param...