The increasing demand for rice in Ghana has been a major concern to the government and other stakeholders. Recent concerns by the coalition for African Rice Development (CARD) to double rice production within ten years in Sub-Saharan countries have triggered the to implement strategies to boost rice production in the government. To fulfill this requirement, there is a need to monitor and foreca...

In this paper we propose a recursive method for forecasting populations and calculating the uncertainty in the estimate. In a recent survey paper Land (1986) discusses three widely used classes of methods for national population forecasts. They are demographic accounting equations, statistical time series, and structural modeling methods. This paper combines the first two of these techniques. A...

     Drug design is generally achieved through trial and error methods, which is a time and resource consuming process and novel methods are needed to improve it. Mathematical modelling is one of the possible solutions to speed up this process. In this study, we have presented Box-Jenkins model, to predict the vasorelaxant activity (pEC50) of a set of benzopyrane compounds. We used t...

In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analysis, has been developed and applied to many practical problems. In this paper, we introduce the SSA technique based on the minimum variance estimator. We also consider the SSA technique based on the minimum variance and structured total least squares estimators in reconstructing and forecasting ti...

The goal of this paper is to analyze the stochastic dynamics of childhood infectious disease time series. We present an univariate time series analysis of pertussis, mumps, measles and rubella based on Box-Jenkins or AutoRegressive Integrated Moving Average (ARIMA) modeling. The method, which enables the dependency structure embedded in time series data to be modeled, has potential research app...

Forecasting daily and weekly passenger demand is a key fundamental process used by existing urban rail transit (URT) station authorities to diagnose operational problems make decisions about train schedule patterns improve efficiency, increase revenue management, driving safety. The accuracy of the forecast results will directly affect operation planning (URT). Therefore, based on collected inb...

Introduction: Frequency of traffic related mortalities is increasing worldwide. The present study aimed to predict deaths from road traffic accidents for the first time in Iran. Methods: All death statistics from traffic accidents in Iran between March 2004 and March 2011 were available for analysis. The Box-Jenkins time series model was used for trends purposes. Death from traffic accidents we...

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