Rainfall is one of the most important climatic variables in the hydrology cycle. In flood estimation as well as environmental pollution studies in medium to large watersheds not only mus temporal pattern of rainfall t be known, but also the knowledge of its spatial distribution is required. Estimation of daily rainfall distribution without comparison and selection of suitable methods may lead...

We consider the problem of estimating the number of components d and the unknown mixing distribution in a Ž nite mixture model, in which d is bounded by some Ž xed Ž nite number N . Our approach relies on the use of a prior over the space of mixing distributions with at most N components . By decomposing the resulting marginal density under this prior, we discover a weighted Bayes factor method...

The analysis of data assuming values in the real open interval (0;1) is a common issue in quantitative research when the effect of selected variables on the conditional expectation of a percentage or rate is considered. In the literature, various alternative methods to model ratios and percentage data have been proposed (see e.g. Papke and Wooldridge, 1996 and Kieschnick and McCullough, 2003). ...

BACKGROUND It is important to detect cognitive decline at an early stage, especially before onset of mild cognitive impairment and dementia. Processing speed and working memory are aspects of cognitive function that are associated with cognitive decline. Hand strength is an inexpensive, easily measurable indicator of cognitive decline. However, associations between hand strength, processing spe...

OBJECTIVE This study examined the effect of stimulus parameters on the occurrence of adequate seizures and reconsidered the factors related to motor seizure duration. METHODS The medical records of 187 patients who received ECT in Asan Medical Center from January 2007 to May 2014 were retrospectively reviewed. The starting stimulus dose was determined using a preselected-dose method and the c...

The purpose of this study was to determine whether individual items in a disability questionnaire were answered differently depending on whether or not the questions were attributed to the upper limb (i.e., “do you have difficulty eating due to your arm or hand problem?” or “do you have difficulty eating?”, respectively). The a priori hypothesis was that the same or more disability would be det...

Bayesian methodology can be used to estimate cluster specific structural equation models with two-level data where all measurement and structural coefficients, including intercepts, factor loadings and regression coefficients can be estimated as cluster level random effects rather than fixed parameters. Bayesian methodology is also well-suited for estimating latent variable models where subject...

The authors compared a case-crossover design, a case-time-control design, and a cohort design to evaluate the effect of nurse staffing level on the risk of nosocomial infections. They evaluated two strategies, conditional logistic regression and generalized estimating equation, to analyze the case-crossover study. The study was performed among critically ill patients in the medical intensive ca...

to start with, having employed transformation wave, some nonlinear partial differential equations have been converted into an ode. then, using the infinite series method for equations with similar linear part, the researchers have earned the exact soliton solutions of the selected equations. it is required to state that the infinite series method is a well-organized method for obtaining exact s...