Database management and programming using Statistical software.
3 hours, 3 units
Completely randomized designs; randomized complete block design; Latin square design; factorial experiments; incomplete block design; higher-order designs.
Prereq: Stat 223/233/equiv/COI. 3 hours, 3 units
Classical procedures; Stationarity; Box-Jerkins modeling procedure: autocorrelation function, partial autocorrelation function; identification, estimation, diagnostic checking, forecasting; transfer functions; applications.
Prereq: Stat 223/233/equiv/COI. 3 hours, 3 units
Multivariate normal distribution; principal components analysis; biplots and h-plots; factor analysis; discriminant analysis; cluster analysis; multidimensional scaling; correspondence analysis; canonical correlation analysis; graphical and data-oriented techniques; applications.
Coreq: Stat 223/233/equiv/COI. 3 hours, 3 units
Markov chains; Markov processes; Poisson processes; renewal processes; martingales.
Prereq: Stat 221/231/equiv/COI. 3 hours, 3 units
High dimensional data; high dimensional data visualization; high dimensional data analysis; dimension reduction; pattern search; clustering; applications.
Prereq: Stat 218/223/233/equiv/COI, Stat 217/226/equiv/COI. 3 hours, 3 units
Classification of nonlinear models; iterative estimation and linear approximation; practical considerations: model specification, starting values, transformations; convergence; multiresponse model; models from differential equations; nonlinear inference regions; measures of nonlinearity; applications.
Prereq: Stat 218/223/233/equiv/COI. 3 hours, 3 units
Distributed lag models; structural change; simultaneous equations; limited dependent variables; ARCH, GARCH, processes; cointegration; applications.
Prereq: Stat 223/233/equiv/COI. 3 hours, 3 units
Cross-classified tables, multidimensional tables; loglinear model; logit models, measures of association; inference for categorical data; applications.
Prereq: Stat 223/233/equiv/COI. 3 hours, 3 units
Reliability of measurements; parallel groups design; control of prognostic factors; blocking and stratification; analysis of covariance; repeated measurements and crossover studies; balanced incomplete block designs; factorial experiments; split-plot designs; applications.
Prereq: Stat 223/233/equiv/COI. 3 hours, 3 units
Functions of survival time; estimation of survival functions; survival distributions and their applications; distribution fitting and goodness-of-fit tests.
Prereq: Stat 207/222/232/equiv/COI. 3 hours, 3 units
Product design and development; optimal designs; response surface models; response surface optimization; applications.
Prereq: Stat 223/233/equiv/COI. 3 hours, 3 units
Principles of data mining; methods of data mining; themes of data mining; applications of data mining in business intelligence.
Prereq: COI. 3 hours, 3 units
Smoothing methods; kernel smoothing; spline smoothing; regression trees; projection pursuit; nonparametric regression; cross-validation; scoring; high dimensional predictors; additive models; backfitting.
Prereq: Stat 207/222/232/equiv/COI, Stat 218/223/233/equiv/COI. 3 hours, 3 units
Empirical distribution functions; resampling and nonparametric Statistical inference; optimality of the bootstrap; bootstrap in hypothesis testing; bootstrap in confidence intervals; bootstrap in regression models; bootstrap for dependent data.
Prereq: Stat 222/232/equiv/COI, Stat 223/233/equiv/COI. 3 hours, 3 units
Market risk; financial time series; copulas; extreme value theory; credit risk models; operational risks.
Prereq: Stat 218/223/233/equiv/COI, Stat 225/equiv/COI. 3 hours, 3 units
Continuous-time model; Brownian motion; random walk; quadratic variation; Ito formula; Black- Scholes equation; risk-neutral measure; martingale representation theorem; fundamental theorems of asset pricing.
Prereq: Stat 221/231/equiv/COI. 3 hours, 3 units
Bayesian inference; empirical and hierarchical analysis; robustness; numerical procedures.
Prereq: Stat 207/222/232/equiv/COI. 3 hours, 3 units
Methods for single, two and k samples; trends and association; nonparametric bootstrap.
Prereq: Stat 222/equiv/COI, Stat 223/equiv/COI. 3 hours, 3 units
Confirmatory factor analysis; multidimensional scaling; correspondence analysis; classification trees; CHAID; Procrustes analysis; neural networks; structural equation modelling.
Prereq: Stat 226/equiv/COI. 3 hours, 3 units
Nonstationarity; cointegration; intervention models; State space models; transfer functions; frequency domain; panel data; nonparametric methods for time series; nonparametric prediction; AR-Sieve; block bootstrap.
Prereq: Stat 218/223/233/equiv/COI, Stat 225/equiv/COI. 3 hours, 3 units
Graphical methods; single batch analysis and analysis of several batches; order Statistics; resistant estimators; robust tests; robust regression; median polish; applications.
Prereq: Stat 222/232/equiv/COI. 3 hours, 3 units
Overview of the Statistical methods useful in quality assurance; Statistical process control; control charts for variables and attributes, cusum chart, multivariate chart; process capability analysis; acceptance sampling; MIL STD tables and JIS tables; off-line quality control; introduction to response surface analysis; Taguchi method; applications.
Prereq: Stat 222/232/equiv/COI. 3 hours, 3 units
The marketing research; data and data generation in marketing research; analytical methods; consumer behaviour modelling.
Prereq: Stat 222/232/equiv/COI, Stat 226/equiv/COI. 3 hours, 3 units
The Philippine Statistical System; surveys being regularly conducted by the system: questionnaire designs, sampling designs, estimators, issues; official Statistics being generated: national accounts, consumer price index, input-output table, poverty Statistics, leading economic indicators, seasonally adjusted series; Statistical methods useful in generating official Statistics.
Prereq: Stat 222/232/equiv/COI, Stat 250/equiv/COI. 3 hours, 3 units
Components of a geographical information system, data structures and elements of spatial modeling; exploratory spatial data analysis; quadrat analysis, tesselations and spatial autocorrelation; spatial modeling and prediction; some sampling theory; applications.
Prereq: COI. 3 hours, 3 units
Radiometric enhancement techniques; geometric enhancement using image domain techniques; multispectral transformation of data; supervised classification techniques; clustering and unsupervised classification; applications.
Prereq: COI. 3 hours, 3 units
Courses in special fields, new areas or latest developments in Statistics.
may be repeated provided that the topics are different; topics to be indicated for record purposes
Prereq: COI. 3 hours, 3 units