A step forward in data driven innovations

SCOPE

Journal of Quantitative Methods recognizes the role of quantitative methods in business and economics, as an in-depth understanding of the latest trends and developments is imperative for academia and industry to equip themselves for competitive advantage in the 21st century and beyond. 

Subjects Areas

JQM addresses a broad range of areas which are relevant and reflective of business, economics and applied statistics. The scope of papers may include quantitative investigation into the following disciplines:

Actuarial Sciences

Experimental Designs

Agricultural Statistics

Financial Modeling

Applied Mathematics

Forensic Statistics

Applied Statistics

Game Theory

Bayesian Statistics

Geo-Statistics

Big Data

Industrial Economics

Biostatistics

Legal and Public Policy

Branding

Management Science

Business Analytics

Marketing

Chemometrics

Mathematical Economics

Computational Statistics

Mathematical Statistics and Probability Theory

Computer Experiments

Multivariate Statistics

Consumer Markets and Buying Behavior

Non-Parametric Statistics

Corporate Finance

Operations Research

Data Mining

Psychometrics

Decision Analysis

Public Finance

Demographic Techniques

Regression Analysis

Econometrics

Reliability and Survival Analysis

Educational Statistics

Statistical Quality Control

Elasticity of Demand and Supply

Stochastic Processes

Entrepreneurship

Survey & Survey Sampling Techniques

Environmental Statistics

Time Series Analysis