You are here

In observance of the 2024 holiday season, Sage offices will be closed Monday December 23rd through Wednesday January 1st. Normal operations, including shipping for orders placed during the closure, will resume on Thursday January 2nd. For technical support during this time, please visit our technical support page for assistance options. 

We wish you a wonderful holiday season. Thank you. 

Disable VAT on Taiwan

Unfortunately, as of 1 January 2020 SAGE Ltd is no longer able to support sales of electronically supplied services to Taiwan customers that are not Taiwan VAT registered. We apologise for any inconvenience. For more information or to place a print-only order, please contact uk.customerservices@sagepub.co.uk.

Model Assisted Statistics and Applications

Model Assisted Statistics and Applications

Published in Association with IOS Press

eISSN: 18759068 | ISSN: 15741699
Model Assisted Statistics and Applications is a peer-reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation or analytical phase of statistical project. This information may be survey-generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis are preferred. Papers of both applied and theoretical topics are acceptable.

Model Assisted Statistics and Applications is a peer-reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation or analytical phase of statistical project. This information may be survey-generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis are preferred. Papers of both applied and theoretical topics are acceptable.

Editor-in-Chief
Sarjinder Singh Texas A&M University-Kingsville, USA
Co-Editor-in-Chief
Stan Lipovetsky Independent Consultant, USA
Associate Editor
Raghunath Arnab University of Botswana, South Africa
Balbinder S. Deo University of Northern British Columbia, Canada
Slava Brodsky Independent Scholar, USA
Wenyaw Chan University of Texas, USA
Stephen Horn FaCSIA National Office, Australia
Marcin Kozak Warsaw Agricultural University, Poland
Vladimir Ladyzhets University of Connecticut, USA
Ilya Lipkovich Eli Lilly and Company, USA
Igor Mandel Redviser Inc., USA
Pier Francesco Perri University of Calabria, Italy
Arkady Shemyakin University of St. Thomas, USA
Housila P. Singh Vikram University, India
A.K.P.C. Swain Utkal University, India
Alex Topchishvili CoinList, Germany
Med Ram Verma ICAR - IASRI, New Delhi, India
Editorial Board Member
Kaustav Aditya Indian Agricultural Statistics Research Institute, India
Shameem Alam International Islamic University, Islamabad, Pakistan
Irfan Ali Aligarh Muslim University, India
Roberto Arias The University of Texas Rio Grande Valley, USA
Milan Bimali University of Arkansas for Medical Sciences, USA
Prem Chandra Medical Research Center, Qatar
Neha Garg Indira Gandhi National Open University, India
Hugh Gong Valparaiso University, USA
Sarah Hurwicz Kogut Biomedical research, USA
Augustus Jayaraj CTPharma, USA
Munir Mahmood Monash University, Australia
Sergio Martinez Puertas University of Almeria, Spain
Ashutosh Maurya University of Allahabad, India
Maryam Murtaza Rawalpindi Women University, Pakistan
Hemant Kumar Nashine VIT Bhopal University, India
Sukhminder S.Osahan World Trade Center Health Registry, USA
Michael Scheltgen University of Saskatchewan, Canada
Manish Sharma University of Jammu, India
Prayas Sharma Babasaheb Bhimrao Ambedkar University, India
Inderjit Singh Grewal Punjab Agricultural University, India
Silvia Valdes University of Southern Maine, USA
Tonghui Xu United States
Zaizai Yan Inner Mongolia University of Technology, China
Boris Zaslavsky Cleveland Diagnostics, USA
  • EBSCO
  • ProQuest
  • SCOPUS
  • Individual Subscription, E-access


    Institutional Subscription, E-access


    Institutional Subscription, Print Only


    Institutional Subscription, Combined (Print & E-access)


    Institutional, Single Print Issue