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 …
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.
Institutional Profile Link: http://www.aus.ac.in/statistics-department/wp-content/uploads/sites/47/2020/12/C.V-of-Dr.-Rama-Shanker.pdf
Estimation Theory is a critical mathematical foundation for all engineering disciplines, enabling learners to model uncertainty, analyse signals, and derive optimal estimators.
House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number of bedrooms, amenities, and other relevant characteristics that significantly impact pricing.
Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning
Vinod Dham is recognized as the ‘Father of Pentium Chip’ or ‘Father of Intel Pentium Process’ in the field of the computer industry, and as an Indo-American pioneer from Silicon Valley. He has contributed 10 research papers during 1982–1986, with an average of two papers per year.
Nuclear power reactors of the current fleet mainly use uranium as the fissile fuel material. The economics of nuclear fuels are mainly governed by the prices of uranium. This work is an analysis of monthly uranium price data available from public data sources, covering the time frame from January 1990 to April 2025.
This study applies Laspeyres, Paasche, and Fisher ideal indices to China’s official 2020–2024 price and quantity data, quantifying sectoral inflation and real growth in agriculture, manufacturing, services, exports, and investment.
