the johor strait is an estuarine system located on the coast of the state of johor in malaysia.the western part of johor strait is a shallow estuarine located between causeway and pulai river. ahydrodynamic model was calibrated based on the environmental fluid dynamic code (efdc) from 4th to 17th of october, 2009. in this calibration, the efdc hydrodynamic model was configured to simulate time ...

The classical integer valued first-order autoregressive (INA- R(1)) model has been defined on the basis of Poisson innovations. This model has Poisson marginal distribution and is suitable for modeling equidispersed count data. In this paper, we introduce an modification of the INAR(1) model with geometric innovations (INARG(1)) for model- ing overdispersed count data. We discuss some structu...

This paper investigates the nature of volatility characteristics of stock returns in the Bangladesh stock markets employing daily all share price index return data of Dhaka Stock Exchange (DSE) and Chittagong Stock Exchange (CSE) from 02 January 1993 to 27 January 2013 and 01 January 2004 to 20 August 2015 respectively.  Furthermore, the study explores the adequate volatility model for the stoc...

  Background: Millions of construction industry accidents occur in the world causing demages and injuries to workers and consequently economical losses every year. The aim of this study was to determine an estimator model for accidents among construction industry workers, in the years 2006 - 2011 for the first time, in Yazd city.   Materials and Methods: In this descriptive study, ...

In this paper, we consider some identification, estimation and specification problems in a class of semi–linear time series models. Existing studies for the stationary time series case have been reviewed and discussed. We also establish some new results for the integrated time series case. In the meantime, we propose a new estimation method and establish a new theory for a class of semi–linear ...

This paper introduces constrained mixtures for continuous distributions, characterized by a mixture of distributions where each distribution has a shape similar to the base distribution and disjoint domains. This new concept is used to create generalized asymmetric versions of the Laplace and normal distributions, which are shown to define exponential families, with known conjugate priors, and ...

In this paper, we present a trajectory-based video retrieval framework using Dirichlet process mixture models. The main contribution of this framework is four-fold. (1) We apply a Dirichlet process mixture model (DPMM) to unsupervised trajectory learning. DPMM is a countably infinite mixture model with its components growing by itself. (2) We employ a time-sensitive Dirichlet process mixture mo...

In this paper we investigate the effects of fusing feature streams extracted from color and depth videos, aiming to monitor the actions of people in an assistive environment. The output of fused timeseries classifiers is used to model and extract actions. To this end we compare the Hidden Markov model classifier and fusion methods like early, late or state fusion. Our experiments employ a publi...

This paper is motivated by recent evidence that many univariate economic and …nancial time series have both nonlinear and long memory characteristics. Hence, this paper considers a general nonlinear, smooth transition regime autoregression which is embedded within a strongly dependent, long memory process. A time domainMLE with simultaneous estimation of the long memory, linear AR and nonlinear...

A functional model of limbic system of brain is proposed by combining four conventional models: a chaotic neural network (CNN), a multilayered chaotic neural network (MCNN), a hippocampus-neocortex model and an emotional model of amygdala. The composite model can realize mutual association of multiple time series patterns and transform short-term memory to long-term memory. The simulation resul...