The Aligarh Journal of Statistics ( AJS ) has completed 41 years of publication since its inception in 1981. The Journal publishes quality research papers from theoretical and applied areas of Statistics and Operations Research. It is a peer-reviewed journal.
Aligarh Journal of Statistics ( AJS ) is a premier research Journal published annually by the Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh (India) since 1981. The purpose of this Journal is to contribute to the development of all branches of theoretical and application statistics including Econometrics, Mathematical Programming and Operations Research. AJS papers are refereed and abstracted/reviewed in Statistical Theory and Method abstracts, Mathematical Review and Current Index to Statistics (CIS). The Editorial Board of the Journal comprises of experienced statisticians from leading research and teaching institutions around the world. The Editorial Board follows a blind reviewing process to ensure publication of high quality papers. Papers accepted for publication in the Journal are refereed by at least two international experts. However, if two referees recommend a paper for the publication, the Journal Editorial Board accepts the paper with the condition that the author accommodates the points raised by the referee/s. The Journal enjoys distinguished status in research circles as the Journal is acknowledged internationally by universities in Europe, North America, Australia, Japan, etc. and is being abstracted and reviewed by renowned international abstracting agencies. The AJS is also ranked as one of the core Journals in Statistics for the “Current Index to Statistics” of American Statistical Association, USA.
Current Issue – Volume 43 (2023)
Papers
N. K. Sajeev Kumar and A. R. Sumi
A Study of the IPO Market in India: Pre and Post Pandemic Analysis
Pratika Agarwalla and Saima Rizvi
Godfrey Joseph Saqware and Ismail B.
Comparative Study on Robust Estimators and Evaluating their Performance in Multiple Regression
Lakshmi R. and Sajesh T. A.
Local Information Based Parameter Estimation For Beta Distribution of First Kind
Ch. Yugandhar and V. V. Haragopal
Application of Modified PPSWR to Estimate the Actual Proportion of Indeclinable Words of Hitopadesha
Anupama Goyal, Pooja Choraria, Versha Dwivedi, P. C. Gupta