The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and Sen’s slope estimator approach on past pollutants statistics from air quality index station of Varanasi, India. Further, using autoregressive integrated moving average model, future values of air pollutant levels are predicted. Carbon monoxide, nitrogen dioxide, sulphur dioxide, particu...

In the context of Pakistan, this research examines circular debt and energy usage effects on per capita income. It uses quarterly data from 2005 to 2020 an autoregressive distributed lag model look at link over short- long-term. According empirical study, whereas has a long-term significant negative association with income, it positive income in short term. This demonstrates how using power con...

This work develops a statistical model to assess the frost risk in Rafsanjan, one of the largest pistachio production regions in the world. These models can be used to estimate the probability that a frost happens in a given time-period during the year; a frost happens after 10 warm days in the growing season. These probability estimates then can be used for: (1) assessing the agroclimate risk ...

this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...

Historical records for rivers in Fars Province are inadequate in comparison with the design period of hydraulic structures. In this study, time series techniques are applied to the records of three Iranian rivers in the Fars Province in order to generate forecast values of the mean monthly river flows. The autoregressive models (AR), moving average models (MA) and autoregressive moving ave...

Changes in gene expression programs play a central role in cancer. Chromosomal aberrations such as deletions, duplications and translocations of DNA segments can lead to highly significant positive correlations of gene expression levels of neighboring genes. This should be utilized to improve the analysis of tumor expression profiles. Here, we develop a novel model class of autoregressive highe...