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.

The Commission of Higher Education (CHED) recognized The Philippine Statistician as one of CHED Accredited Research Journals.

Printer friendly version

No. of records per page: 10 | 20 | 30 | 50 | 100 | Show all
Select a Page:  1
No. Title of Article Authors Year Vol No PDF
1.Economic Mobility in Urban Southeast Asia: The Case of the Philippines and IndonesiaNovee Lor Leyso, Arturo Martinez Jr., and Iva Sebastian2017662
2.Understanding the Ideal Number of Children and Contraceptive Practices of Filipino Women through Generalized Linear ModelsIsabella Benabaye, Patricia Rose Donato and John D. Eustaquio2017662
3.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
4.Modeling Rare Events using a Zero-Inflated Poisson (ZIP) Distribution: Some New Results on Point EstimationSuntaree Unhapipat, Nabendu Pal and Montip Tiensuwan2017662
5.Zero-Truncated New Quasi Poisson-Lindley Distribution and its ApplicationsRama Shanker and Kamlesh Kumar Shukla2017662
6.Regression and Variable Selection via A Layered Elastic NetMichael Van B. Supranes and Joseph Ryan G. Lansangan2017662
7.Asymptotic Decorrelation of Discrete Wavelet Packet Transform of Generalized Long-memory Stochastic VolatilityAlex C. Gonzaga2017662
8.Survival Analysis for Weaning Time of the Palestinian ChildrenAli H. Abuzaid and Raida F. Zaqout2017661
9.Modeling Iloilo River Water QualityMichelle B. Besana and Philip Ian P. Padilla2017661
10.An Index of Financial Inclusion in the Philippines: Construction and AnalysisMynard Bryan R. Mojica and Claire Dennis S. Mapa2017661
11.Comparison of Regression Estimator and Ratio Estimator: A Simulation StudyDixi M. Paglinawan2017661
12.A Class of Ratio-Cum-Product Type Exponential Estimators under Simple Random SamplingGajendra K. Vishwakarma and Sayed Mohammed Zeeshan2017661
13.An Exponentially Weighted Moving Average Control Chart for Zero-Truncated Poisson Processes: A Design and Analytic Framework with Fast Initial Response FeatureRobert Neil F. Leong, Frumencio F. Co, Vio Jianu C. Mojica and Daniel Stanley Y. Tan2017661
14.Spatial-Temporal Models and Computational Statistics Methods: A SurveyErniel B. Barrios and Kevin Carl P. Santos2017661
15.A Sustainability Model for Small Health Maintenance ProgramsMia Pang Rey and Ivy D.C. Suan2016652
16.Multiple Statistical Tools for Divergence Analysis of Rice (Oryza sativa L.) Released VarietiesAldrin Y. Cantila, Sailila E. Abdula, Haziel Jane C. Candalia and Gina D. Balleras2016652
17.Linear Discriminant Analysis vs. Genetic Algorithm Neural Network with Principal Component Analysis for Hyperdimensional Data Analysis: A study on Ripeness Grading of Oil Palm (Elaeis guineensis Jacq.) Fresh FruitDivo Dharma Silalahi, Consorcia E. ReaƱo, Felino P. Lansigan, Rolando G. Panopio and Nathaniel C. Bantayan2016652
18.Quantile and Restricted Maximum Likelihood Approach for Robust Regression of Clustered DataMay Ann S. Estoy and Joseph Ryan G. Lansangan2016652
19.Nonparametric Hypothesis Testing for Isotonic Survival Models with ClusteringJohn D. Eustaquio2016652
20.Semiparametric Probit Model for High-dimensional Clustered DataDaniel R. Raguindin and Joseph Ryan G. Lansangan2016652
21.SPCR-Based Control Chart for Autocorrelated Processes with High Dimensional Exogenous VariablesPaul Eric G. Abeto and Joseph Ryan G. Lansangan2016652
22.Small Area Estimation with Spatiotemporal Mixed ModelDivina Gracia L. Del Prado and Erniel B. Barrios2016652
23.Interdependence of Philippine Stock Exchange Sector Indices: Evidence of Long-run and Short-run RelationshipKarl Anton M. Retumban2016651
24.Drivers of Household Income Distribution Dynamics in the Philippines*Arturo Martinez Jr., Mark Western, Wojtek Tomaszewski, Michele Haynes, Maria Kristine Manalo, and Iva Sebastian2016651
25.Purposive Sampling in the Analysis of Count DataPaolo Victor T. Redondo2016651
26.AR-Sieve-based Prediction Interval for Sustainable Development IndexJachelle Anne Dimapilis2016651
27.Value-at-Risk Estimates from a SETAR ModelJoselito C. Magadia2016651
28.Comparison of Ordinal Logistic Regression with Tree-Based Methods in Predicting Socioeconomic Classes in the PhilippinesMichael Daniel C. Lucagbo2016651
29.The Recursive Alpha (RAlph) Coefficients: Quantifying Inter-Item Cohesion under Indirect Range RestrictionMichael Van B. Supranes; John Francis J. Guntan; Joy Pauline Adrienne C. Padua; Joseph Ryan G. Lansangan2015642
30.Incidence of Crimes and Effectiveness of Interventions in the National Capital Region: Evidence from Panel DataMichael Daniel C. Lucagbo; Lianne S. De La Cruz; Jecca V. Narvasa; Micah Jane A. Paglicawan2015642
31.Bootstrapping Penalty Analysis in Sensory Evaluation of Pizza ProductsCatherine Estiaga2015642
32.Statistical Evaluation of In Vivo Micronucleus Assays in ToxicologyJohn Closter F. Olivo2015642
33.Modelling Rice Yield in the Philippines Using Dynamic Spatio-Temporal ModelsStephen Jun V. Villejo2015642
34.Some Zero Inflated Poisson-Based Combined Exponentially Weighted Moving Average Control Charts for Disease SurveillanceRobert Neil F. Leong; Frumencio F. Co; Daniel Stanley Y. Tan2015642
35.Nonparametric Bootstrap Test in a Multivariate Spatial-Temporal Model: A Simulation StudyAbubakar S. Asaad; Erniel B. Barrios2015642
36.Statistics for Applied Researchers: Bootstrap to the RescueNabendu Pal; Suntaree Unhapipat2015641
37.Developed Sampling Strategy in Evaluating Teaching Performance Through Student RatingsJames Roldan S. Reyes; Zita VJ. Albacea2015641
38.Forecasting Time-Varying Correlation Using the DCC ModelJohn D. Eustaquio; Dennis S. Mapa; Miguel C. Mindanao; Nino I. Paz2015641
39.Classification and Prediction of Suicidal Tendencies of the Youth in the Philippines: An Empirical StudyStephen Jun V. Villejo2015641
40.Comparison of Tree-Based Methods in Identifying Factors Influencing Credit Card Ownership and Prediction AccuracyKarl Anton M. Retumban2015641
41.Predicting Socioeconomic Classification in the Philippines: Beyond the Ordinal Logistic Regression ModelMichael Daniel C. Lucagbo2015641
42.Determinants of income class in Philippine households: Evidence from the Family Income and Expenditure Survey 2009Stephen Jun Villejo; Mark Tristan Enriquez; Michael Joseph Melendres; Dexter Eric Tan; Peter Julian Cayton2014632
43.Determinants of regional minimum wages in the PhilippinesLisa Grace S. Bersales; Michael Daniel C. Lucagbo2014632
44.The link between expenditure on contraceptives and number of young dependents in the PhilippinesMichael Daniel C. Lucagbo; Genica Peye C. Alcaraz; Kristina Norma B. Cobrador; Elaine Japitana; Gelli Anne Q. Sadsad2014632
45.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
46.An efficient variant of dual to ratio and product estimator in sample surveysGajendra K. Vishwakarma; Raj K. Gangele; Ravendra Singh2014632
47.A general class of chain ratio-product type exponential estimators in double sampling using two auxiliary variatesGajendra K. Vishwakarma; Manish Kumar; Raj K. Gangele2014632
48.Modeling clustered survival data with cured fractionIris Ivy M. Gauran; Angela D. Nalica2014632
49.Proceedings of the Focused Group Discussion on Accreditation/Certification for Professional StatisticiansPSAI Initiatives2014631
50.Indentifying Influencers of Consumer Activity: A Case Study in Predictive ModelingAngela D. Nalica; Joseph Ryan G. Lansangan2014631
51.Effects of Household Use of Biomass Fuel and Kerosene on Birth Weight of Babies in the PhilippinesMichael Daniel C. Lucagbo2014631
52.Comparison of Different Methods of Constructing Housing Start Index in the PhilippinesFelicidad Hebron2014631
53.Design Strategies in Fitting a Nonlinear ModelMichael Van Supranes2014631
54.Semiparametric Poisson Regression Model for Clustered DataEiffel A. de Vera2014631
55.Modelling Zero-Inflated Clustered Count Data: A Semiparametric ApproachKevin Carl P. Santos2014631
56.Autologistic Spatial-Temporal ModelingMa. Andriena Ida B. Del Ayre-Ofina2014631
57.Visual Exploration of Climate VariabilityWendell Q. Campano; Rona Mae U. Tadlas2013622
58.Measuring Income Mobility using Pseudo-Panel DataArturo M. Martinez Jr; Mark Western; Michele Haynes; Wojtek Tomaszewski2013622
59.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
60.Regression Analyses of the Philippine Birth Weight DistributionElline Jade Beltran; Robert Neil F. Leong; Frumencio F. Co2013622
61.Profitability and Growth Topology Analysis of Unilevel-type of Network Marketing StructuresJohn Carlo P. Daquis; Angelique O. Castaneda; Nelson D. Sy; Joseph V. Abgona2013622
62.Classification of Congenital Hypothyroidism using Artificial Neural NetworksIris Ivy Gauran; Ma. Sofia Criselda A. Poblador2013622
63.Career opportunities in the pharmaceutical industryJennifer Ly2013621
64.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
65.High dimensional nonparametric discrete choice modelMaureen Dinna D. Giron2013621
66.Esstimation under purposive sampling with auxiliary variableJohn Erwin Banez2013621
67.Sparse principal component regression Joseph Ryan G. Lansangan2013621
68.Value-at-risk measures for the PSE index using hidden markov modelsJoselito C. Magadia2013621
69.Bootstrap estimation of the average household expenditure on personal care and effects of regional levelJachelle Anne G. Dimapilis2013621
70.Nonparametric transfer function model with localized temporal effectJohn Carlo P. Daquis2013621
71.Sampling from a Skewed Population: The Sampling Design of the 2011 Survey of Enterprises in the PhilippinesErniel B. Barrios2012612
72.Robust Methods in Time Series Models with VolatilityWendell Q. Campano2012612
73.Poisson Spatial Autoregression Modelling of Poverty Count Data in the PhilippinesJohn Erwin S. Banez2012612
74.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
75.Analysis of Mother's Day Celebration Via Circular StatisticsAli H. Abuzaid2012612
76.Purposive Sampling as an Optimal Bayes Sampling DesignJacqueline M. Guarte2012612
77.Small Area Estimation with a Multivariate Spatial-Temporal ModelArturo M. Martinez, Jr2012612
78.On the Misuse of Slovin's FormulaJeffry J. Tejada; Joyce Raymond B. Punzalan2012611
79.Ranked Set SamplingKevin Carl P. Santos2012611
80.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
81.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
82.Econometric Modeling of Panel Data on the Saving Patterns of Philippine Agricultural HouseholdsAngelo M. Alberto; Lisa Grace S. Bersales2012611
83.Classification of Congenital Hypothyroidism in Newborn Screening Using Self-Organizing MapsIris Ivy M. Gauran; Maria Sofia Criselda A. Poblador2012611
84.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
85.Assessing Strength of Seasonality Through Sample Entropy: A Simulation StudyJohn Carlo P. Daquis; Maria Lizeth M. Laus; Nikki E. Supnet2012611
86.Statistical Models for Extreme ValuesPeter Julian A. Cayton2012611
87.Sample Sizes to Compare Two Poisson RatesEdsel A. Pena2012611
88.Bootstrap MethodsErniel B. Barrios2011601
89.A Dose of Business Intelligence: Data MiningJoseph Ryan G. Lansangan, 2011601
90.Copula-Based Vector Autoregressive Models for Bivariate Cointegrated DataHideaki Taima; Ana Maria L. Tabunda, 2011601
91.Nearest-Integer Response from Normally-Distributed Opinion (NIRNDO) Model for Likert ScaleJonny B. Pornel, Vicente T. Balinas, Giabelle A. Saldaa2011601
92.Substance Use Among Serious Adolescent Offenders Following Different Patterns of Antisocial ActivityMichelle Besana; Edward P. Mulvey2011601
93.Food Inflation, Underemployment and Hunger Incidence: A Vector Autoregressive (VAR) AnalysisDennis S. Mapa; Fatima C. Han; Kristine Claire O. Estrada2011601
94.Length of a Time Series for Seasonal Adjustment: Some Empirical ExperimentsLisa Grace S. Bersales2011601
95.Investigating the Efficiency of Stratified Ranked Set Sampling Using Nonparametric Bootstrap EstimationKevin Carl P. Santos; Jenniebie Salagubang2011601
96.Nonparametric Model-Based Predictive Estimation in Survey SamplingApril Anne H. Kwong2011601
97.Teaching of Statistical Consulting in the PhilippinesErniel B. Barrios2010591
98.Teaching Experiments for a Course in Introductory StatisticsJosefina V. Almeda2010591
99.The Random Component of the Levy Fractional Brownian Motion: A Rotation-Scale-Reflection-Invariant Random FieldJeffry J. Tejada2010591
100.Backfitting Estimation of a Response Surface ModelJhoanne Marsh C. Gatpatan2010591
101.Knowledge, Attitudes, and Practices of Filipino Households in Relation to Avian Influenza: A Pilot StudyJosefina V. Almeda; Jonathan G. Yabes2010591
102.Loglinear and Classification Tree Models of the Decision Paradigm of the Tuberculosis Diagnostic CommitteeCaryl Rose E. Alfonte2010591
103.Spatio-Temporal Modeling of Growth in Rice Production in the PhilippinesAngela D. Nalica2010591
104.What Drives the Dynamic Conditional Correlation of Foreign Exchange and Equity Returns?Gregorio A. Vargas2010591


Back to top