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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 14, Issue 2 (2015)

Front Matter

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Front Matter
JMASM Editors

Invited Articles

Regular Articles

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An Empirical Study on Different Ranking Methods for Effective Data Classification
Ilangovan Sangaiah, A. Vincent Antony Kumar, and Appavu Balamurugan

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Two Stage Robust Ridge Method in a Linear Regression Model
Adewale Folaranmi Lukman, Oyedeji Isola Osowole, and Kayode Ayinde

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Semi-Parametric Non-Proportional Hazard Model With Time Varying Covariate
Kazeem A. Adeleke, Alfred A. Abiodun, and R. A. Ipinyomi

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Structural Properties of Transmuted Weibull Distribution
Kaisar Ahmad, S. P. Ahmad, and A. Ahmed

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Approaches for Detection of Unstable Processes: A Comparative Study
Yerriswamy Wooluru, D. R. Swamy, and P. Nagesh

Statistical Software Applications and Review

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Caution for Software Use of New Statistical Methods (R)
Akiva J. Lorenz, Barry S. Markman, and Shlomo Sawilowsky

Algorithms and Code

End Matter

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End Matter
JMASM Editors

Full Issue

JMASM 14(2)