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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, and quantitative or qualitative methodologists/evaluators.

See About JMASM to learn more about the Journal.

Current Issue: Volume 15, Issue 1 (2016)

Front Matter

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Front Matter
JMASM Editors

Invited Articles

Regular Articles

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Parametric Tests for Two Population Means under Normal and Non-Normal Distributions
Diep T. Nguyen, Eun Sook Kim, Patricia Rodriguez de Gil, Anh Kellermann, Yi-Hsin Chen, Jeffrey D. Kromrey, and Aarti Bellara

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Multiple Imputation When Rate of Change Is The Outcome of Interest
Manisha Desai, Aya A. Mitani, Susan W. Bryson, and Thomas Robinson

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Construction of Pair-wise Balanced Design
Rajarathinam Arunachalam, Mahalakshmi Sivasubramanian, and Dilip Kumar Ghosh

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Construction of Efficiency-Balanced Design Using Factorial Design
Rajarathinam Arunachalam, Mahalakshmi Sivasubramanian, and Dilip Kumar Ghosh

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Bayesian Estimation of the Size of a Street-Dwelling Homeless Population
Lawrence C. McCandless, Michelle L. Patterson, Lauren B. Currie, Akm Moniruzzaman, and Julian M. Somers

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Characterizations of Continuous Distributions by Truncated Moment
M Ahsanullah, M Shakil, and B M Golam Kibria

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Compound Identification Using Penalized Linear Regression on Metabolomics
Ruiqi Liu, Dongfeng Wu, Xiang Zhang, and Seongho Kim

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Bayesian estimation of P[Y < X] Based on Record Values from the Lomax Distribution and MCMC Technique
Mohamed A. W Mahmoud, Rashad M. El-Sagheer, Ahmed A. Soliman, and Ahmed H. Abd Ellah

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Application of Esscher Transformed Laplace Distribution in Microarray Gene Expression Data
Shanmugasundaram Devika, Sebastian George, and Lakshmanan Jeyaseelan

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The xgamma Distribution: Statistical Properties and Application
Subhradev Sen, Sudhansu S. Maiti, and N. Chandra

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Model-Based Outlier Detection System with Statistical Preprocessing
D. Asir Antony Gnana Singh and E. Jebalamar Leavline

Emerging Scholar

Statistical Software Applications and Review

Algorithms and Code

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Simple Response Surface Methodology Using RSREG (SAS)
Wan Muhamad Amir, Mohamad Shafiq, Kasypi Mokhtar, Nor Azlida Aleng, Hanafi A.Rahim, and Zalila Ali

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Algorithm for Combining Robust and Bootstrap In Multiple Linear Model Regression (SAS)
Wan Muhamad Amir, Mohamad Shafiq, Hanafi A.Rahim, Puspa Liza, Azlida Aleng, and Zailani Abdullah

End Matter

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End Matter
JMASM Editors

Full Issue

JMASM 15(1) May 2016