ABSTRACT We consider a sample of 82 non-repeating fast radio bursts (FRBs) detected at Parkes, ASKAP, CHIME, and UTMOST, each which operates over different frequency range has detection criterion. Using simulations, we perform maximum-likelihood analysis to determine the FRB population model that best fits these data. Our shows models where pulse scatter broadening increases moderately with red...

In some long term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common marginal distribution function, and inferences about it are of our interest. The main result of this paper is that of providing, under certain regularity conditions, the Kaplan-Meier estimator can be expressed as the mean of random variables, with a ...

The relative reduction of risk for all-cause mortality among the elderly has been described as attenuated compared to younger subjects, but the risk for all-cause mortality increases with age when absolute risk is considered. The objectives of the present inquiry were to calculate the relative and absolute risks of all-cause mortality based on incidence rate ratios, and summarize these risks fo...

The Kaplan-Meier (KM) method is used to analyze ‘time-toevent’ data. The outcome in KM analysis often includes allcause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of the KM results and to discuss some important...

The objective of this study was to estimate the protein degradability parameters of 6 common ruminant feedstuff using the nylon bags (in situ) and the innovative in vitro method-the DaisyII incubator. Significant differences were observed between the in situ and in vitro methods in estimation of the rapidly soluble (a) fraction (Pin vitro method were highly correlated with the estimated values ...

abstract process of evapotranspiration (eto) is a major component of the hydrologic cycle that its accurate estimation plays an important role to achieve sustainable development in water balance, irrigation system design and planning and management of water resources. being a function of different metrological parameters and their interactions, evapotranspiration is a complex, nonlinear phenome...

Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of context-dependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven clust...