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Research & Reviews : Journal of Statistics

E-ISSN: 2278-2273 | P-ISSN: 2348-7909 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Research & Reviews : Journal of Statistics Research & Reviews: Journal of Statistics [2278–2273(e)] is a peer-reviewed hybrid open-access journal launched in 2011 focused on the publication of current research work carried out under statistics. This journal covers all major fields of applications in statistics.

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Journal Information

Title: Research & Reviews : Journal of Statistics
Abbreviation: rrjost
Issues Per Year: 3 Issues
P-ISSN: 2348-7909
E-ISSN: 2278-2273
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/RRJS
Starting Year: 2012
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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rrjost maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Rama Shanker, Associate Professor

Assam University, Assam, India, 788011

Email :

Latest Articles

Ahead of Print

Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models

Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management.

Time series forecasting, ARIMA, SARIMA, energy planning, demand forecasting

Transforming Punjab's Education System: A Critical Analysis of Automation and Artificial Intelligence

The rapid advancement of Artificial Intelligence (AI) and automation technologies is transforming education systems across the globe. In Punjab, one of India's leading educational regions, AI-driven tools and automated technologies are increasingly being adopted to improve teaching, learning, assessment, administration, and institutional management.

Machine intelligence, system automation, tertiary education, Punjab, pedagogy, electronic learning environment, intelligent scholastic frameworks

Box Plots: An Introduction to the Visual EDA Wonder

A box plot, also known as a box-and-whisker plot, is a widely used statistical graphic that provides a concise summary of the distribution of numerical data.

Box plot, quartiles, interquartile range (IQR), outliers, data visualization, ggplot2, r programming, notched box plot, violin plot, exploratory data analysis (EDA)

Statistical and AI Approaches to Measure Sustainability Performance of Enterprises

Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges.

Sustainability Performance, Artificial Intelligence, Statistical Methods, Enterprises, ESG, Machine Learning, Data Analytics.

Computer Data Processing and Empirical Economics

This is an article on empirical economics and computer data processing that discusses how computational technology have changed empirical research methods.

Empirical Economics, Data Processing, Econometrics, Computational Methods, Big Data Analysis

A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning

Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities.

Cloud computing, epidemic prediction, epidemic risk index, long short-term memory, mathematical modeling
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