Study on Time Series Modeling and Forecasting Inflation: Evidence from Nigeria

Posted on January 7, 2021Categories EconomicsTags , , ,   Leave a comment on Study on Time Series Modeling and Forecasting Inflation: Evidence from Nigeria

Effective prediction of general price level trends has been a major concern of entrepreneurs and monetary authorities in Nigeria over the past decades. The results allow monetary authorities to prepare effectively and the profit drive on the part of entrepreneurs and investors continues. This research uses a univariate model developed by Box and Jenkins in the form of the Autoregressive Integrated Moving Average model and a multivariate time series model to forecast inflation for Nigeria in the form of the … Continue reading “Study on Time Series Modeling and Forecasting Inflation: Evidence from Nigeria”

Statistical Study on Food Grains Demand and Supply in India

Posted on November 13, 2020Categories AgricultureTags , , ,   Leave a comment on Statistical Study on Food Grains Demand and Supply in India

In India, agricultural development policies have been aimed at reducing hunger, food insecurity, malnutrition and poverty at a rapid rate since independence in 1947. India accounts for 17% of the world’s population, with a population of 1.11 million. In terms of customers, its population is always greater than the average size of other nations, with the exception of China. India’s state of food shortage and malnutrition is of great importance to the global situation. In this present analysis, the predicted … Continue reading “Statistical Study on Food Grains Demand and Supply in India”

Research on Time Series Analysis for Long Memory Process of Air Traffic Using ARFIMA

Posted on August 21, 2020Categories Mathematics and Computer ScienceTags , , , ,   Leave a comment on Research on Time Series Analysis for Long Memory Process of Air Traffic Using ARFIMA

In the present study, the time series models ARIMA and ARFIMA or FARIMA models have been fitted to Air India domestic air passengers, which considered as self similarity and Long Range Dependence (LRD). In such case ARFIMA model is expected to be superior to ARIMA. We fitted ARIMA and ARFIMA models to air traffic data and compared. Then the best model has been identified using RMSE, MAE and MAPE values. This model can be useful to analyze the air traffic … Continue reading “Research on Time Series Analysis for Long Memory Process of Air Traffic Using ARFIMA”