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.Modelling Zero-Inflated Clustered Count Data: A Semiparametric ApproachKevin Carl P. Santos2014631
2.Autologistic Spatial-Temporal ModelingMa. Andriena Ida B. Del Ayre-Ofina2014631
3.Visual Exploration of Climate VariabilityWendell Q. Campano; Rona Mae U. Tadlas2013622
4.Measuring Income Mobility using Pseudo-Panel DataArturo M. Martinez Jr; Mark Western; Michele Haynes; Wojtek Tomaszewski2013622
5.Effects of Education on Climate Risk Vulnerability in the Philippines: Evidence from Regional Panel DataMichael Daniel C. Lucagbo; Kristina Norma B. Cobrador; Nikki Ann M. de Mesa; Remy Faye M. Ferrera; Jennifer E. Marasigan2013622
6.Regression Analyses of the Philippine Birth Weight DistributionElline Jade Beltran; Robert Neil F. Leong; Frumencio F. Co2013622
7.Profitability and Growth Topology Analysis of Unilevel-type of Network Marketing StructuresJohn Carlo P. Daquis; Angelique O. Castaneda; Nelson D. Sy; Joseph V. Abgona2013622
8.Classification of Congenital Hypothyroidism using Artificial Neural NetworksIris Ivy Gauran; Ma. Sofia Criselda A. Poblador2013622
9.Career opportunities in the pharmaceutical industryJennifer Ly2013621
10.An elementary proof of independence of least squares estimation of regression coefficients and of variance in linear regressionAlexaander R. De Leon; Joyce Raymund B. Punzalan2013621


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