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.Modelling Portfolio Risk and Diversification Effects of a Portfolio Using the Exponential Distribution – Bivariate Archimedean Gumbel Copula ModelOwen Jakata and Delson Chikobvu2023721
2.Local Quadratic Regression: Maximizing Performance via a Modified PRESS** for Bandwidths SelectionE. Edionwe and O. Eguasa2023721
3.Spatiotemporal Patterns of COVID-19 Cases in Quezon City, PhilippinesTricia Janylle B. Sta. Maria, Nancy E. Añez-Tandang, and Edrun R. Gayosa2023721
4.Utilization of Machine Learning, Government-Based and Non-Conventional Indicators for Property Value Prediction in the PhilippinesGabriel Isaac L. Ramolete, Bryan Bramaskara, Dustin A. Reyes, and Adrienne Heinrich2023721
5.Verification of Coffee Product Form and Determination of Conversion Rate From Coffee Dried Berries to Green Coffee Beans (GCB)Dennis S. Mapa, Ph.D., Divina Gracia L. Del Prado, Ph.D., Vivian R. Ilarina, Rachel C. Lacsa, Manuela S. Nalugon, Abella A. Regala, Marivic C. De Luna, and Ray Francis B. De Castro2022712
6.Determination of Dry Rubber Content of Rubber Cup LumpClaire Nova O. Abdulatip and Honey Fe G. Boje2022712
7.Topic Identification and Classification of GooglePlay Store ReviewsDaniel David M. Pamplona2022712
8.A Bayesian Hierarchical Model for COVID-19 Cases in Mindanao PhilippinesJejemae D. Nacion and Bernadette F. Tubo2022712
9.Hierarchical Bayesian Model for Correcting Reporting Delays in Dengue CountsMikee T. Demecillo and Bernadette F. Tubo2022712
10.Estimating the Magnitude of the Poor Households in Metro Manila Using the Poisson Regression ModelBernadette B. Balamban, Anna Jean C. Pascasio, Driesch Lucien R. Cortel and Maxine R. Ridulme2022712
11.Application of Consecutive Sampling Technique in a Clinical Survey for an Ordered Population: Does it Generate Accurate Statistics?Mohamad Adam Bujang, Tg Mohd Ikhwan Tg Abu Bakar Sidik, and Nadiah Sa'at2022711
12.On Some Efficient Classes of Estimators Based on Higher Order Moments of an Auxiliary AttributeShashi Bhushan and Anoop Kumar2022711
13.An Application of CATANOVA and Logistic Regression on the Most Prevalent Sexually Transmitted Infection (A Case Study of the University of Nigeria Teaching Hospital)Nnaemeka Martin Eze, Oluchukwu Chukwuemeka Asogwa, Samson Offorma Ugwu, Chinonso Michael Eze, Felix Obi Ohanuba, Tobias Ejiofor Ugah2022711
14.Analytic Hierarchy Process with Rasch Measurement in the Construction of a Composite Metric of Student Online Learning Readiness ScaleJoyce DL. Grajo, James Roldan S. Reyes1, Liza N. Comia, Lara Paul A. Ebal, Jared Jorim O. Mendoza, and Mara Sherlin DP. Talento2022711
15.Implementing an Effective Survey Operations for a Research and Development Survey in the PhilippinesRamoncito G. Cambel, Dalisay S. Maligalig, Maurice C. Borromeo, and Ronald R. Roldan Jr., and Clifford B. Lesmoras2022711
16.Analysis of Longitudinal Data with Missing Values in the Response and Covariates Using the Stochastic EM AlgorithmAhmed M. Gad and Nesma M. Darwish2022711
17.Two New Tests for Tail Independence in Extreme Value ModelsMohammad Bolbolian Ghalibaf2021702
18.Time Series Prediction of CO2 Emissions in Saudi Arabia Using ARIMA, GM(1,1), and NGBM(1,1) ModelsZ. F. Althobaiti, and A. Shabri2021702
19.Classes of Estimators under New Calibration Schemes using Non-conventional Measures of DispersionA. Audu, R. Singh, S. Khare, N. S. Dauran2021702
20.A New Compound Probability Model Applicable to Count DataShowkat Ahmad Dar, Anwar Hassan, Peer Bilal Ahmad and Bilal Ahmad Para2021702


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