The Philippine Statistician

The Philippine Statistician (TPS) is a refereed scientific journal published twice a year. TPS aims to disseminate a wide range of papers of technical, theoretical, and applied statistical nature considered of general or special interest to varied groups of statisticians. It considers papers resulting from original research in statistics and its applications. Papers will be sent for review on the assumption that this has not been published elsewhere nor is submitted in another journal. The TPS journal does not require any publication fee. For more information about submission of manuscript, please read the TPS Guidelines for Authors.

The Philippine Statistician has been indexed in Scopus since 2015 with ISSN:2094-0343.

Download: [ TPS Guidelines for Authors ] [ TPS Editorial Board ]



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No. Title of Article Authors Year Vol No PDF
1.Performance Evaluation and Comparison of Integer- Valued Time Series Models for Measles Outbreak Detection in CaviteVio Jianu C. Mojica and Frumencio F. Co2019681
2.Investigating Dissimilarity in Spatial Area Data Using Bayesian Inference: The Case of Voter Participation in the Philippine National and Local Elections of 2016Francisco N. de los Reyes2018671
3.Measuring Market Risk with the Folded Peaks-Over-Thresholds ApproachPeter Julian Cayton2018671
4.Employment Correlates of Multidimensional Poverty in the PhilippinesManuel Leonard Albis and Jessmond Elviña2018671
5.Coping with Disasters Due to Natural Hazards: Evidence from the PhilippinesMajah-Leah Ravago, Dennis Mapa, Jun Carlo Sunglao and James Roumasset2018671
6.The Multidimensional Approach to Measuring PovertyLisa Grace S. Bersales, Divina Gracia L. del Prado and Mae Abigail O. Miralles2018671
7.Economic Mobility in Urban Southeast Asia: The Case of the Philippines and IndonesiaNovee Lor Leyso, Arturo Martinez Jr., and Iva Sebastian2017662
8.Understanding the Ideal Number of Children and Contraceptive Practices of Filipino Women through Generalized Linear ModelsIsabella Benabaye, Patricia Rose Donato and John D. Eustaquio2017662
9.Measles Outbreak Detection in Metro Manila: Comparisons between ARIMA and INAR ModelsJoshua Mari J. Paman, Frank Niccolo M. Santiago, Vio Jianu C. Mojica, Frumencio F. Co, and Robert Neil F. Leong2017662
10.Modeling Rare Events using a Zero-Inflated Poisson (ZIP) Distribution: Some New Results on Point EstimationSuntaree Unhapipat, Nabendu Pal and Montip Tiensuwan2017662


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