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


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 ( 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 . 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 (;

Vol. 20 No. 2, 2024

Published: Jun 6, 2024

Sample size determination when the parameter of interest is the coefficient of variation under normality for the data

157-170 Jorge Alberto Achcar, Emerson Barili

The Topp-Leone-Gompertz-G Power Series Class of Distributions with Applications

Topp-Leone-Gompertz-G Power Series Class of Distributions

171-195 Morongwa Gabanakgosi, Broderick Oluyede

A new three-parameter discrete distribution to model over-dispersed count data

197-215 Anupama Nandi, Partha Jyoti Hazarika, Aniket Biswas, G. G. Hamedani

A new class of probability distributions with an application in engineering science

217-231 Anwar Hassan, Ishfaq Hassain Dar, Murtiza Ali Lone

A New Family of Heavy-Tailed Generalized Topp-Leone-G Distributions with Application

233-260 Thatayaone Moakofi, Broderick Oluyede, Bakang Tlhaloganyang, Agolame Puoetsile

A discrete claims-model for the inflated and over-dispersed automobile claims frequencies data: Applications and actuarial risk analysis

261-284 Haitham M. Yousof, Mohammad Mehdi Saber, Abdullah H. Al-Nefaie, Mohamed Ibrahim, Salwa L. Alkhayyat

Approximation Methods for the Bivariate Compound Truncated Poisson Gamma Distribution

285-299 Amal Alhejaili, Ateq Alghamedi

Approximations to the Moments of Order Statistics for Normal Distribution

301-309 Asuman Yılmaz, Mahmut Kara

Using the Single-Exponential-Smoothing Time Series Model under the Additive Holt-Winters Algorithm with Decomposition and Residual Analysis to Forecast the Reinsurance-Revenues Dataset

311-340 Murtadha Mansour Abdullah

Characterizations of the Recently Introduced Discrete Distributions

341-367 G. G. Hamedani, Amin Roshani
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