This review presents a modern perspective on dynamical systems in the context of current
goals and open challenges. In particular, our review focuses on the key challenges of …

The most expedient means of analysing global climate change is to analyse the precipitation
along with major components of the global atmospheric circulation. Like other Coastal …

The present study is to use artificial neural network (ANN) models for the prediction of
meteorological data. Artificial neural network models namely multiple layer perceptron …

Rainfall is the significant parameter for climate change, meteorological and hydrological
process. The present paper describes the seasonal rainfall patterns in the Rayalaseema …

To investigate variability patterns, to predict short-term and long-term changes of weather,
time-series data analysis is considered to be a valuable tool. The paper presents modelling …

An improved statistical approach to compare means Page 1 AIMS Mathematics, 8(2): 4596–4629.
DOI: 10.3934/math.2023227 Received: 01 August 2022 Revised: 28 October 2022 Accepted …

The economy of India is closely and vitally linked with the rainfall during the southwest
monsoon season, which occurs from June to September. Here, a comprehensive analysis …

Abstract The classical Analysis of Means (ANOM) is a statistical inferencing procedure and
visualization tool to analyze means from experiments with fixed effects. It can serve as an …

Indian southwest monsoon rainfall has a huge socioeconomic influence, and any changes
in monsoon rainfall patterns will have major consequences for agriculture, water supplies …

The main objective of the paper is to investigate the behavior, modeling, and predicting the
patterns of the seasonal rainfall in Tamil Nadu using the unobserved components model …