Over time, Stata has come to incorporate more and more features for effective analysis of time series data, either pure time series or panel data with emphasis placed on the time series dimension of the panel. In this context, ‘time series modeling’ should be taken in the broad sense, referring to multivariate models built with data organized as time series, rather than the narrow sense of “Box...

Time-series analysis, a relatively uncommon technique in ecological studies, has been applied to annual tree growth-ring series. In agreement with earlier North American work, ARMA(1,1) models were found to be the predominant form for expressing stochastic growth processes, occurring in 58% of the 36 Nothofagus menziesii and N. solandri time-series examined. The remaining 42% conformed to an AR...

Count data are primarily categorised as cross-sectional, time series, and panel. Over the past decade, Poisson and Negative Binomial (NB) models have been used widely to analyse cross-sectional and time series count data, and random effect and fixed effect Poisson and NB models have been used to analyse panel count data. However, recent literature suggests that although the underlying distribut...

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...

background: determining the temporal variation and forecasting the incidence of smear positive tuberculosis (tb) can play an important role in promoting the tb control program. its results may be used as a decision-supportive tool for planning and allocating resources. the present study forecasts the incidence of smear positive tb in iran. methods: this a longitudinal study using monthly tuberc...

The paper is devoted to the presentation of methods of economic time series analysis and modelling using the Box-Jenkins methodology, the signal processing approach and the feedforward conventional/fuzzy neural network technique. Some results on our research on time series modelling with emphasis on potential improving forecast accuracy are presented here. The assessment of the particular model...

Coronavirus declared as a global pandemic by WHO has emerged the most aggressive disease negatively affecting more than 90% countries of world. Nigeria, one populated in Africa is not an exception. This study focuses on analyzing intrinsic patterns COVID-19 spread Nigeria using Box-Jenkins procedure. Data daily confirmed cases was retrieved from Centre for Disease Control (NCDC) official websit...

At the end of every year the Value Line (VL) Corporation publishes its forecasts of the Dow Jones Index and its probable ranges for the coming three years using a three explanatory variable multiple regression model that we call the Value Line Dow Jones (VL-DJ) model. The model is a static time series model. Therefore, forecasts of the Dow Jones Index rely on forecasts of the independent variab...