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rrjs

Research & Reviews : Journal of Statistics

ISSN: 2278-2273

Editors Overview

rrjs maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.


Chief-Editor

Dr. Satyanshu Kumar Upadhyay

Professor
Department of Statistics, Banaras Hindu University,
Uttar Pradesh India

Affiliation Official Link https://www.bhu.ac.in/

Institutional Profile Link : https://bhu.ac.in/Site/FacultyProfile/1_159?FA000590


Publisher

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301
E-mail: [email protected]
(Tel) (+91) 0120- 4781 200
(Mob) (+91) 9810078958, +919667725932

About the Journal

Research & Reviews : Journal of Statistics (rrjs): 2278-2273(e) is a peer-reviewed hybrid open-access journal launched in 2011 focused on the publication of current research work carried out under statistics. View Full Focus and Scope…

Journal Particulars

Title
Research & Reviews : Journal of Statistics
Journal Abbreviation
rrjs
Issues Per Year
(Frequency)
3 Issues
(Jan-April,May-August,Sept-Dec)
ISSN
2278-2273
Impact Factor(SJIF)
6.179
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI
10.37591/RRJS
Copyright
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
Starting Year
2012
Subject
Applied Sciences
Language
English
Publication Format
Hybrid Open Access
Type of Publication
Peer-reviewed Journal (Refereed Journal)
Website
journals.stmjournals.com
Address
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301
Indexing
Advanced Science Index (ASI), Cite Factor, Genamics, Google Scholar, Journal TOCs, Publons, Scientific Indexing Services (SIS)
CODEN
RRJSBY
Latest Article

Vol-12 Issue-01 2023

Regular Issue  Subscription Article Published on :- 17-Jun-2023

Use of the Computer Statistics in Oncology
M. Shoikhedbrod
Keywords: Computer statistics, computer statistical modeling, computer optimal interpolation, estimation of malignant new formations treatment efficiency, precise prognosis of metastases appearance timing

01-21

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