4 resultados para marginal likelihood
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
Among the non-invasive techniques employed in the prevention of caries highlights the sealing pits and fissures which is a conservative maneuver, in order to obliterate them to protect them from attack acid bacteria. Influenced by the studies of pre-heating composite resin, which has experienced great improvement in some of their physical properties, this study aimed to evaluate in vitro the superficial and internal marginal adaptation of different materials and sealants in pre-heating or not. A total of 40 extracted human third molars (n=10) that had their occlusal surfaces prepared to receive sealant. We tested two types of sealing materials: resin sealant (Fluoroshield) and low-viscosity resin (Permaflo), where 50% of previously received heated material and the other half received sealant material at room temperature. All samples were subjected to thermal cycling and pH, simulating a cariogenic oral environment, and later were analyzed appliance OCT (optical coherence tomography). The images obtained alterations were recorded and analyzed statistically. Change was considered as the emergence of bubbles, gaps and cracks in the sealant. Comparisons of the same material, assessing the fact that it is not sealed or preheated material, as well as comparisons between different materials subjected to the same temperature were carried out. The nonparametric Tukey test was used (p < 0,05). The results showed that there was statistically significant difference between both the materials analyzed, as between the situations in which the sealant material was submitted (preheated or not). On the issue of marginal adaptation and internal surface, seen through Optical coherence tomography, may suggest that there is a difference between the use of one type or another of the sealing material analyzed, with superiority attributed to resin Permaflo compared to sealant Fluroshield, telling is the same for the different techniques used
Resumo:
This thesis presented is to research the actor's work in the construction of physical actions, according to the methodology developed by Constantin Stanislavski in his analysis of dramatic action, called "method of physical action", applied to questions of scenic representation of the Brazilian marginal, according to the look "cruel" and realistic / naturalistic Plinio Marcos playwright. Based on the circumstances given by Pliniano universe, the intention is to contribute to the reflection on the actor's work on the scene with the marginal characters in "Razor in the Flesh", highlighting some important aspects, to assist in the construction of this fictional world. You want to create conditions for the formation of an actor that leverages the scene the contradictions and conflicts of this work. The research aims from the theoretical and practical study as a methodological hypothesis, producing critical reflection from the creative process of the agent with the realization of a scenic experiment focused on psychophysical technique of this Russian pedagogue. Thus, we intend to have a look at the method of physical actions focusing on his last great contribution to the work, especially the procedure of active analysis by doing a reading from "Razor in the Flesh" through this creative scenic exercise, extending the studies concerning the actor's art. This research is a general explanation about the trajectory of Stanislavski to his encounter with the physical action, while, highlights the inconsistencies of understanding of his work around the world. Stanislavski initially developed the "method" having as a backdrop, the realist aesthetic - a dialogue relationship between reality and the scene - through a style which creates a theatrical reality, and consequently, artistic, not literally naturalistic way through an integral mimicry. That is, the representation of work in realistic theater aesthetics should be developed in order to create a theatrical reality. Stanislavski believes that theater is convention, since the actor's work on himself should encourage this second nature, scenic.
Resumo:
In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.
Resumo:
In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.