JOURNAL OF SCIENCE (KHARAZMI UNIVERSITY)
Year:2014 | Volume:14 | Issue:2|Papers Count:7

Traditional methods for testing equality of means are based on normality observations in each treatment, but parametric bootstrap methods offer a test statistic to estimate P-value by resampling. In article, first, Fisher, Cochran, Welch, James, Brown and Forsyth, Approximate F, Weerahandi, Adjust Welch and Parametric Bootstrap tests for testing hypothesis equality of means are defined. Then type one error and power of these tests were compared to each other by a simulation study for various sizes of samples and treatments.Finally sizes of these tests were calculated for the real data of Esfahan Cement factory.Traditional methods for testing equality of means are based on normality observations in each treatment, but parametric bootstrap methods offer a test statistic to estimate P-value by resampling. In article, first, Fisher, Cochran, Welch, James, Brown and Forsyth, Approximate F, Weerahandi, Adjust Welch and Parametric Bootstrap tests for testing hypothesis equality of means are defined. Then type one error and power of these tests were compared to each other by a simulation study for various sizes of samples and treatments. Finally sizes of these tests were calculated for the real data of Esfahan Cement factory.

In recent decades optimal control problems with partial differential equation constraints have been studied extensively. These issues are very complex and the numerical solution of such problems is of great importance. In this article we will discuss the solution of elliptic optimal control problem. First, by using the finite element method we obtain to gain the discrete form of the problem. The obtained discrete problem is actually a large scale constrained optimization problem. Solving this optimization problem with traditional methods is difficult and requires a lot of CPU time and memory.But split Bergman method converts the constrained problem to an unconstrained problem, and hence it saves time and memory requirement. We then use the split Bergman iterative methods for solving this problem, and examples show the speed and accuracy of split Bergman iterative methods for solving this type of problems. We also use the SQP method for solving the problem and compare with split Bergman method.

In this article a spatial model is presented for extreme values with marginal generalized extreme value (GEV) distribution. The spatial model would be able to capture the multi-scale spatial dependencies. The small scale dependencies in this model is modeled by means of copula function and then in a hierarchical manner a random field is related to location parameters of marginal GEV distributions in order to account for large scale dependencies. Bayesian inference of presented model is accomplished by offered Markov chain Monte Carlo (MCMC) design, which consisted of Gibbs sampler, random walk Metropolis-Hastings and adaptive independence sampler algorithms. In proposed MCMC design the vector of location parameters is updated simultaneously based on devised multivariate proposal distribution. Also, we attain Bayesian spatial prediction by approximation of the predictive distribution. Finally, the estimation of model parameters and possibilities for capturing and separation of multi-scale spatial dependencies are investigated in a simulation example and analysis of wind speed extremes.

In this research an organic dye called Porphyrin, which showed TCPP in abbreviation form, synthesis.In order to characterized this dye UV-Vis absorptive spectrum was derived and compared with other articles samples. This dye was used to build a dye sensitized solar cell (DSSC), and after characterization of this cell the function of it was measured. Porphyrin absorption spectra obtained in this study is consistent with similar in iranian and international samples that Confirm the accuracy of the porphyrin and a high absorbtion intensity is achieved. A DSSC based TCPP have a good performance that open circuit voltage 0.49 v and short circiut current density 3.6 mA/cm2 and efficiency 0.7% has achieved.

In this paper, we study the electronic transport of a multi-molecular chain of copper phthalocyanine connected to two metallic leads by using Green’s function method at the tight-binding approach. The results show that in the gaps of this system, the density of states is independent of the number of molecules or the system length. Moreover, increasing of the system length decreases the tunneling conductance and causes the appearance of peaks and dips in the gaps of the conductance spectra and depending on the value of incoming electron energy, the electron tunneling takes place easier, especially in the edges of the gaps.

In this paper the electronic, structure and optical properties of strontium sulfide in rocksalt phase have been studied. The calculation have been performed using pseudopotential method in the framework of density functional theory (DFT) by Abinit package. in this calculation we used of localized density approximation (LDA) and generaliezed geradient (GGA) approximation. The obtained result have been good agreement with other theory and experimental results.