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)

PDF

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)

PDF

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)

PDF