•  
  •  
 

About JMASM

The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, quantitative or qualitative evaluators, and methodologists.

See About JMASM to learn more about the Journal.

Current Issue: Volume 13, Issue 2 (2014)

Front Matter

PDF

Front Matter
JMASM Editors

Invited Article

PDF

Improved Randomization Tests for a Class of Single-Case Intervention Designs
Joel R. Levin, John M. Ferron, and Boris S. Gafurov

Regular Articles

PDF

Conover’s F Test as an Alternative to Durbin’s Test
Donald J. Best and John Charles Rayner

PDF

Pairwise Comparison in Repeated Measures
I.C.A. Oyeka and C. C. Nnanatu

PDF

Gumbel-Weibull Distribution: Properties and Applications
Raid Al-Aqtash, Carl Lee, and Felix Famoye

PDF

Objective Priors for Estimation of Extended Exponential Geometric Distribution
Pedro L. Ramos, Fernando A. Moala, and Jorge A. Achcar

PDF

Ridge Regression and Ill-Conditioning
Ghadban Khalaf and Mohamed Iguernane

PDF

The Information Criterion
Masume Ghahramani

Emerging Scholars

Statistical Software Applications and Review

End Matter

PDF

End Matter
JMASM Editors

Full Issue

JMASM 13(2) (November 2014)

Editors

Senior Editor
Shlomo S. Sawilowsky
Editor
Dr. Jack Sawilowsky
Associate Editor Emeritus
Harvey Keselman
Assistant Editor Emeritus
Alan Klockars
Associate Editor
Bruno D. Zumbo
Assistant Editors
Vance W. Berger
Todd C. Headrick
Editorial Assistance
Dr. Julie Smith