The presence of long memory in time series is characterized by an autocorrelation function that decreases slowly or hyperbolically. The most suitable model for capturing this phenomenon is the Autoregressive Fractionally Integrated Moving Average (ARFIMA) model, which is particul...
Open access
Research Article10.9734/jsrr/2024/v30i72145
Recent advancements in Machine Learning (ML) had proven highly effective in modeling time series data, consistently outperforming traditional time series models in forecasting accuracy according to empirical studies. However, the application of ML techniques in forecasting agricu...
Open access
Research Article10.9734/jsrr/2024/v30i72142
India, the world's leading producer and exporter of sugar, plays a crucial role in the food industry due to sugar's sweet flavour and its multifaceted applications as a sweetener, preservative, texture enhancer, colouring agent, flavouring agent, and bulking agent. In the year 20...
Open access
Research Article10.9734/jsrr/2024/v30i51927
The primary objective of this study is to analyse the annual and seasonal rainfall trends in the Bapatla district of Andhra Pradesh over the long term. The seasonal rainfall data for Bapatla district was collected from the NASA Power website and covering the period from January 1...
Open access
Research Article10.9734/ijecc/2023/v13i113532