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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Number of Records Found: 160

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No. Title of Article Authors Year Vol No PDF
1.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
2.On Some Efficient Classes of Estimators Based on Higher Order Moments of an Auxiliary AttributeShashi Bhushan and Anoop Kumar2022711
3.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
4.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
5.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
6.Analysis of Longitudinal Data with Missing Values in the Response and Covariates Using the Stochastic EM AlgorithmAhmed M. Gad and Nesma M. Darwish2022711
7.Two New Tests for Tail Independence in Extreme Value ModelsMohammad Bolbolian Ghalibaf2021702
8.Time Series Prediction of CO2 Emissions in Saudi Arabia Using ARIMA, GM(1,1), and NGBM(1,1) ModelsZ. F. Althobaiti, and A. Shabri2021702
9.Classes of Estimators under New Calibration Schemes using Non-conventional Measures of DispersionA. Audu, R. Singh, S. Khare, N. S. Dauran2021702
10.A New Compound Probability Model Applicable to Count DataShowkat Ahmad Dar, Anwar Hassan, Peer Bilal Ahmad and Bilal Ahmad Para2021702


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