The purpose of this paper is to predict the lending interest rate and deposit Bangladesh using Autoregressive Integrated Moving Average (ARIMA) model by Box Jenkins. It has been found that ARIMA (1, 0, 1) appropriate in predicting both rates from 2022 2026 data presented World Bank Open Data 1976 2021. To test goodness fit, AIC (Akaike Information Criterion) BIC (Bayesian index values have calc...

La presente investigación contiene un análisis de la recaudación tributaria y las predicciones en el Ecuador mediante aplicación modelos series tiempos tomando cuenta presencia COVID-19 medidas tomadas por gobierno central torno a esta emergencia sanitaria. Este se sustenta metodología Box Jenkins para poder identificar modelo que permita incorporar factores influyen establecer pronósticos, lo ...

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...

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...