In this research, Zn2SiO4 as a support and MnFe2O4 as a main photo-catalyst were individually syn-thesized and MnFe2O4 was fixed on Zn2SiO4 with solid state dispersion method. MnFe2O4 nano pho-to-catalyst was synthesized by co-precipitation method and reflux condition for 12 hours at 85°C in the presence of urea. For identification of catalysts Fourier-transform infrared (FTIR) sp...

Background & Aims of the Study: Azo dyes utilized in industrial processes, such as the textile manufacturing, lead to the creation of huge amounts of colored wastewaters that contain non-organic and organic constituents. Therefore, it is necessary to search for remedies in this regard. This study investigated the degradation and mineralization of Acid red 14 (AR14), which is a mono Azo dye gene...

In this article, optimization of a black box using designs of experiments is studied. There are two fundamental different branches in optimization using Design of Experiments; higher order Taylor expansions, i.e., response surface methodology, and underdetermined experimental designs, i.e., supersaturated designs. In this article, supersaturated designs are studied. Optimization using design of...

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In this chapter we draw connections between two seemingly opposing approaches to probability and statistics: evidential probability on the one hand and objective Bayesian epistemology on the other.

The degree of empirical support of a priori plausible structures on the cointegration vectors has a central role in the analysis of cointegration. Historically, this question has been answered by classical testing of over-identifying restrictions on the cointegration space. This paper introduces an exact finite sample Bayesian procedure to calculate the posterior probability of restrictions on ...

In this paper joint mean and variance beta regression models are proposed. The proposed models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. An analysis of structural and real data is included, assuming the proposed model, together with a comparison of the result obtained assuming joint modeling of the mean and precision parameters.

A key step in “Designing for the Consequences of Hazard” is choosing which hazards to design for. This paper argues that the Bayesian perspective is the rational and prudent framework.