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.Biosurveillance of measles using control charts: A case study using NCR laboratory confirmed measles counts from January 2009 to January 2014Lorraine Christelle B. Angkico; Priscilla A. Diaz; Robert Neil F. Leong; Frumencio F. Co2014632
2.An efficient variant of dual to ratio and product estimator in sample surveysGajendra K. Vishwakarma; Raj K. Gangele; Ravendra Singh2014632
3.A general class of chain ratio-product type exponential estimators in double sampling using two auxiliary variatesGajendra K. Vishwakarma; Manish Kumar; Raj K. Gangele2014632
4.Modeling clustered survival data with cured fractionIris Ivy M. Gauran; Angela D. Nalica2014632
5.Proceedings of the Focused Group Discussion on Accreditation/Certification for Professional StatisticiansPSAI Initiatives2014631
6.Indentifying Influencers of Consumer Activity: A Case Study in Predictive ModelingAngela D. Nalica; Joseph Ryan G. Lansangan2014631
7.Effects of Household Use of Biomass Fuel and Kerosene on Birth Weight of Babies in the PhilippinesMichael Daniel C. Lucagbo2014631
8.Comparison of Different Methods of Constructing Housing Start Index in the PhilippinesFelicidad Hebron2014631
9.Design Strategies in Fitting a Nonlinear ModelMichael Van Supranes2014631
10.Semiparametric Poisson Regression Model for Clustered DataEiffel A. de Vera2014631
11.Modelling Zero-Inflated Clustered Count Data: A Semiparametric ApproachKevin Carl P. Santos2014631
12.Autologistic Spatial-Temporal ModelingMa. Andriena Ida B. Del Ayre-Ofina2014631
13.Visual Exploration of Climate VariabilityWendell Q. Campano; Rona Mae U. Tadlas2013622
14.Measuring Income Mobility using Pseudo-Panel DataArturo M. Martinez Jr; Mark Western; Michele Haynes; Wojtek Tomaszewski2013622
15.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
16.Regression Analyses of the Philippine Birth Weight DistributionElline Jade Beltran; Robert Neil F. Leong; Frumencio F. Co2013622
17.Profitability and Growth Topology Analysis of Unilevel-type of Network Marketing StructuresJohn Carlo P. Daquis; Angelique O. Castaneda; Nelson D. Sy; Joseph V. Abgona2013622
18.Classification of Congenital Hypothyroidism using Artificial Neural NetworksIris Ivy Gauran; Ma. Sofia Criselda A. Poblador2013622
19.Career opportunities in the pharmaceutical industryJennifer Ly2013621
20.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
21.High dimensional nonparametric discrete choice modelMaureen Dinna D. Giron2013621
22.Esstimation under purposive sampling with auxiliary variableJohn Erwin Banez2013621
23.Sparse principal component regression Joseph Ryan G. Lansangan2013621
24.Value-at-risk measures for the PSE index using hidden markov modelsJoselito C. Magadia2013621
25.Bootstrap estimation of the average household expenditure on personal care and effects of regional levelJachelle Anne G. Dimapilis2013621
26.Nonparametric transfer function model with localized temporal effectJohn Carlo P. Daquis2013621
27.Sampling from a Skewed Population: The Sampling Design of the 2011 Survey of Enterprises in the PhilippinesErniel B. Barrios2012612
28.Robust Methods in Time Series Models with VolatilityWendell Q. Campano2012612
29.Poisson Spatial Autoregression Modelling of Poverty Count Data in the PhilippinesJohn Erwin S. Banez2012612
30.Nonparametric Bootstrap Estimation of the Population Ratio Using Ranked Set SamplingKevin Carl P. Santos; Charisse Mae I. Castillo; Reyna Belle d.S. de Jesus; Nina B. Telan; Crystal Angela P. Vidal2012612
31.Analysis of Mother's Day Celebration Via Circular StatisticsAli H. Abuzaid2012612
32.Purposive Sampling as an Optimal Bayes Sampling DesignJacqueline M. Guarte2012612
33.Small Area Estimation with a Multivariate Spatial-Temporal ModelArturo M. Martinez, Jr2012612
34.On the Misuse of Slovin's FormulaJeffry J. Tejada; Joyce Raymond B. Punzalan2012611
35.Ranked Set SamplingKevin Carl P. Santos2012611
36.A Multivariate Probit Analysis on the Factors Influencing the Adoption of Water Saving Technologies by Rice Farmers in Sto. Domingo, Nueva EcijaDaniel R. Raguindin; Eiffel A. De Vera2012611
37.Sampling with Probability Proportional to Aggregate Size Using Nonparametric Bootstrap in Estimating Total Production Area of Top Cereals and Root Crops Across Philippine RegionsMaria Sofia A. Poblador; Iris Ivy M. Gauran2012611
38.Econometric Modeling of Panel Data on the Saving Patterns of Philippine Agricultural HouseholdsAngelo M. Alberto; Lisa Grace S. Bersales2012611
39.Classification of Congenital Hypothyroidism in Newborn Screening Using Self-Organizing MapsIris Ivy M. Gauran; Maria Sofia Criselda A. Poblador2012611
40.In a number of research studies involving surveys, the so-called Slovin's formula is used to determine the sample size. Unfortunately, many of these studies use the formula inappropriately, giving the wrong impression that it can be used in just about anLara Paul D. Abitona; Zita VJ Albacea2012611
41.Assessing Strength of Seasonality Through Sample Entropy: A Simulation StudyJohn Carlo P. Daquis; Maria Lizeth M. Laus; Nikki E. Supnet2012611
42.Statistical Models for Extreme ValuesPeter Julian A. Cayton2012611
43.Sample Sizes to Compare Two Poisson RatesEdsel A. Pena2012611
44.Bootstrap MethodsErniel B. Barrios2011601
45.A Dose of Business Intelligence: Data MiningJoseph Ryan G. Lansangan, 2011601
46.Copula-Based Vector Autoregressive Models for Bivariate Cointegrated DataHideaki Taima; Ana Maria L. Tabunda, 2011601
47.Nearest-Integer Response from Normally-Distributed Opinion (NIRNDO) Model for Likert ScaleJonny B. Pornel, Vicente T. Balinas, Giabelle A. Saldaa2011601
48.Substance Use Among Serious Adolescent Offenders Following Different Patterns of Antisocial ActivityMichelle Besana; Edward P. Mulvey2011601
49.Food Inflation, Underemployment and Hunger Incidence: A Vector Autoregressive (VAR) AnalysisDennis S. Mapa; Fatima C. Han; Kristine Claire O. Estrada2011601
50.Length of a Time Series for Seasonal Adjustment: Some Empirical ExperimentsLisa Grace S. Bersales2011601


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