background: malaria is a major cause of morbidity and mortality in nepal. the magnitude of malaria across the country is alarming and varies with location. therefore, the present study aimed to model malaria incidence rates during 1998 to 2009 in nepal. methods: data for the study were obtained from health management information system (hmis), ministry of public health. a negative binomial mode...

background & aim: congenital hypothyroidism (ch) is one of the most common endocrine diseases and is a major cause of preventable mental retardation. early diagnosis of ch can help prevent future diseases. although time series techniques are often utilized to forecast future status, they are inadequate to deal with count data with overdispersion. the aim of this study was to apply poisson hidde...

This paper examined the efficiency of multivariate linear regression (MLR) and artificial neural network (ANN) models in prediction of two major water quality parameters in a wastewater treatment plant. Biochemical oxygen demand (BOD) and chemical oxygen demand (COD) as well as indirect indicators of organic matters are representative parameters for sewer water quality. Performance of the ANN m...

Some physico-chemical properties and the concentrations of the metals Fe, Mn, Ni, Cd, Cr, Co, Cu, Pb, and Zn in water and sediments were examined from September 2011 to January 2012 in Bodo Creek, where oil spills have been recurrent. Temperature, pH, total dissolved solid, conductivity, salinity, dissolved oxygen, biological oxygen demand (BOD), chemical oxygen demand (COD), total hardness, su...

Testing whether two spatial point processes have the same distribution is an important task that can be addressed from different perspectives. A Kolmogorov-Smirnov test with asymptotic calibration and a Cramer von Mises type bootstrap recently been developed to compare first-order intensity of observed patterns. Motivated by common practice in epidemiological studies, we introduce regression ba...

In the remainder, we call such a variety a convex symplectic variety. A convex symplectic variety has been studied in [K-V], [Ka 1] and [G-K]. One of main difficulties we meet is the fact that tangent objects TX and T 1 Y are not finite dimensional, since Y may possibly have non-isolated singularities; hence the usual deformation theory does not work well. Instead, in [K-V], [G-K], they introdu...

Quality of service (QoS) differentiation within the optical infrastructure is under constant development due to the direct impact of the ever-rising demand for time-critical and multimedia applications in the Internet. In this paper, we propose an efficient prioritized hybrid model based on two eminent approaches namely, resource-reservation and extra offset-time based QoS that have already bee...

This paper describes three bed prediction models in aiding hospital planners to anticipate bed demand so as to manage resources efficiently. The Poisson bed occupancy model provides an estimation of bed occupancy and optimal bed requirements in each class based on length of stay and admissions data. The simulation model was developed to predict bed occupancy levels for every class for the follo...

We consider a Poisson inventory model for perishable goods in which the items have random lifetimes and are scrapped either when reaching the end of their lifetime or a xed constant expiration age. The crucial process to describe this system is the virtual death process (W (t))t¿0, where W (t) is the residual waiting time after time t until the next ‘death’ of an item if there were no demand ar...