Journal of Statistical Theory and Practice

Overview

Journal of Statistical Theory and Practice is a broad-based journal that publishes original research and reviews in statistical sciences.

Submission of original research papers, significant review articles, and book reviews are encouraged.
Publishes editorials on 'Life and Works' of eminent scholars.
Regularly publishes special issues on targeted topics.
Covers all traditional topics in statistical theory and applications.
Also publishes articles in the field of data sciences including machine learning.

Editor-in-Chief

Collection

The collection " Skew normal distribution and related topics" will include both theoretical and applied papers on the latest developments in the...

Collection

Statistical Machine Learning has emerged as a pivotal tool, demonstrating notable efficacy in various applications such as pattern recognition,...

Collection

Deep Learning has emerged as a pivotal methodology, with demonstrated remarkable achievements in challenging applications such as image...

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Multisample Version of the Modified Anderson–Darling Statistic
Ayaka Tamaki
Hidetoshi Murakami
Masato Kitani
Original Article Open access 07 July 2026 Article: 95
A Quantile-Based Framework for Past Stress-Strength Reliability
Angel Mathew
K. R. Deepa
Original Article 06 July 2026 Article: 94
Nonparametric Predictive Inference for Ranking and Selection
Fatimah I. Alshihry
Tahani Coolen-Maturi
Frank P. A. Coolen
Original Article Open access 06 July 2026 Article: 93
Part of 1 collection:

A Collection in Honor of Dr. Sat Gupta’s Retirement
Reliability Properties and Applications of Auto-Relevated Log-Logistic Model
Anand R
Dileepkumar M
Greeshma Chandran
Original Article 03 July 2026 Article: 92
Basket Options Greeks’s Approximations
Ana Beja
Pedro Mota
Original Article 02 July 2026 Article: 91

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Electronic ISSN: 1559-8616
Print ISSN: 1559-8608
Abstracted and indexed in: ANVUR

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