About the Journal

The Journal of Modern Applied Statistical Methods (e-ISSN 2950-4600 & ISSN 1538-9472)   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.


Articles

Proportionality Adjusted Ratio-Type Calibration Estimators of Population Mean Under Stratified Sampling

Neha Garg (School of Sciences, Indira Gandhi National Open University, India)
Ambika C (School of Sciences, Indira Gandhi National Open University, India)
Menakshi Pachori (Sanskriti Ayurvedic Medical College & Hospital, Sanskriti University, India)

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Forecasting with Triple Exponential Smoothing on Data of the Number of Passengers Departing Domestic Flights at Sultan Hasanuddin International Airport

Suci Lestari (Department of Statistics, Hasanuddin University, Indonesia)
Anna Islamiyati (Department of Statistics, Hasanuddin University, Indonesia)
Georgina Maria Tinungki (Department of Statistics, Hasanuddin University, Indonesia)

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The Performance of the Maximum Likelihood Estimator for the Bell Distribution for Count Data

David E. Giles (Professor Emeritus, Department of Economics, University of Victoria, Canada)

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The Performance of Ridge Regression, LASSO, and Elastic-Net in Controlling Multicollinearity: A Simulation and Application

Netti Herawati (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)
Ameliana Wijayanti (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)
Agus Sutrisno (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)
Nusyirwan (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)
Misgiyati (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)

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Face Recognition Using Principal Component Analysis with Euclidean Distance and Artificial Neural Network Classification Methods

Muhammad Deo Pratama (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)
Khoirin Nisa (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)
La Zakaria (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Indonesia, Indonesia)
Mona Arif Muda (Department of Informatics Engineering, Faculty of Engineering, Universitas Lampung, Indonesia, Indonesia)

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