Journal Description

Pakistan Journal of Statistics and Operation Research started in 2005 with the aim to promote and share scientific developments in the subject of statistics and its allied fields. Initially, PJSOR was a bi-annually double-blinded peer-reviewed publication containing articles about Statistics, Data Analysis, Teaching Methods, Operational Research, Actuarial Statistics, and application of statistical methods in a variety of disciplines. Because of the increasing submission rate, the editorial board of PJSOR decided to publish it on a quarterly basis from 2012. Brief chronicles are overseen by an Editorial Board comprised of academicians and scholars. We welcome you to submit your research for possible publication in PJSOR through our online submission system. Publishing in PJSOR is absolutely free of charge (No Article Processing Charges).
ISSN : 1816 2711   |   E- ISSN : 2220 5810


 

Call for Papers

Nov 19, 2021

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Papers are invited for submission to PJSOR: Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.

PJSOR will publish papers describing recent research advances. The papers will be electronically available as soon as they are ready for publication, and freely accessible to all. They subsequently will appear in the paper version of the journal. Publication is free of charge, and each author will receive a free copy of the issue of the journal in which the paper is published.

Articles will be evaluated anonymously by at least two reviewers. The Editorial Board will make final decisions regarding acceptance or rejection of articles after reviews have been received, and at least a month after receipt of the manuscript. Authors submitting manuscripts should submit articles through PJSOR website (www.pjsor.com) by registering with PJSOR.

You are also encouraged to register your name in the reviewer database for Pakistan Journal of Statistics and Operation Research by visiting www.pjsor.com . This does not entail any form of commitment on your part, but simply enables us to approach you with a submission to possibly review. On being invited to review, you will have an opportunity to see the title and abstract of the paper, and you'll always be in a position to accept or decline the review invitation. You can also ask at any point to have your name removed from this reviewer list.

Note: If you already registered with PJSOR, use your login and password and follow the instructions of online submission.

Topics of interest for publication in PJSOR include:

If you have any query feel free to contact us at (pjsor@live.com;editor@pjsor.com)

Vol. 22 No. 3, 2026

Published: Sep 12, 2026

A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression models

317-324 Gustavo H. A. Pereira, Gilberto P. Alcântara Junior
2

Characterizations of Certain (2023-2024) Introduced Univariate Continuous Distributions III

325-359 Amin Roshani, G. G. Hamedani, Nadeem Shafique Butt
4

Item response model proposal under a uniform latent variable assumption: Application to school bullying data

361-376 Edilberto Cepeda-Cuervo, Vicente Nunez-Anton
5

Almost sure convergence with rate of a robust regression estimator for twice-censored data

377-405 Wafaa DJELLADJ, Hassiba BENSERADJ
5

A New Mixed Distribution with Properties, Applications and Hydrological Engineering Risk Analysis under the Flood Peaks of the Canadian Wheaton River

407-432 Mohamed Ibrahim, Gadir Alomair, Abdussalam Aljadani, Nadeem Shafique Butt, Ahmad M. AboAlkhair, Haitham M. Yousof, Nazar A. Ahmed, Rehab Shehata Mahmoud
9

A Wrapped New Polynomial One-Parameter Distribution with Applications to Ecological and Wind Direction Data

433-458 Swapnil Swagat Phookan, Partha Jyoti Hazarika, Sajadul Hussain, G. G. Hamedani
3

Theory to Prediction: Hybrid Models for Binary Endogenous Variables in PLS-SEM Using Supervised Machine Learning

459-472 Mirza Rizwan Sajid, Anila Anbreen, Noryanti Muhammad, Asif Hanif, Erum Shahzadi, Abu Usama
4

A New Light-tailed Weighted Model for Reliability Risk Analysis: Theory, Properties and Case Study

473-500 Mohamed Ibrahim, Gadir Alomair, Abdussalam Aljadani, Mohamed Aboraya, Sami A. Morsi, Haitham M. Yousof, Mujtaba Hashim, Rehab Shehata Mahmoud
12
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