Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...

a two server queueing system with single and batch service is considered in this paper. the arrival process is assumed to be poisson and the service rate follows an exponential distribution. server-i serves the customers in both single and batch service, while server-ii serves the customers in batch service only. the laplace transform of the transient and steady state behavior of the model is c...

While extensive research has been devoted to univariate quantile regression, this is considerably less the case for multivariate (longitudinal) version, even though there are many potential applications, such as joint examination of growth curves two or more characteristics, body weight and length in infants. Quantile functions easier interpret a population than mean functions. connection betwe...