Department of Statistics |

Course Descriptions |

Mathematical StatisticsThis course closely examines the inferential method in which various parameters comprising each distribution is inferred based on a variety of probability distributions and their transforms taught in Probability Distribution Theory. Aims at establishing a theoretical system since inference theory and verification theory are the basis on which all areas of statistics are built. Mathematical Statistics LabStudents learn to apply the content taught in Mathematical Statistics to real problems and study in detail parts not covered in that course. Time Series AnalysisAnalyzes time series data that commonly appear in economics, business management, and natural science, based on the Box-Jenkins method. Uses the SAS/ETS statistics package. Time Series Analysis LabStudents learn to use SAS or their own self-developed programs to analyze the theory taught in Time Series Analysis class and to interpret the results. Experimental DesignDeals with experiment design plans, data gathering methods, and statistical techniques of analyzing surveyed data. Experimental Design LabWhat students have learned from lectures on experimental design theories will be applied to practice using a relevant package, and afterwards, they will independently design experiments. Survival AnalysisThis course deals with statistical inferences on survival functions, hazard functions, etc. Survival Analysis LabStudents practice the theories they have learned in the ‘Survival Analysis’ course using a statistical package. Through this process, students develop practical material analysis skills. Multivariate AnalysisDeals with the statistical analysis technique that analyze simultaneously observed data on multi variables. Main topics include primary property analysis, factor analysis, and multivariate regression analysis, all of which are in frequent use. Multivariate Analysis LabStudents gain actual data analysis experience through practicing with a computer what was learned in the Multivariate Analysis class. Data MiningThe purpose of this lecture is to look at the data analysis and model selection process to identify information and knowledge that is useful in the decision-making process from among vast amounts of data and databases. Data Mining LabStudents will use a statistical package to analyze actual data in economics and management studies. Categorical Data AnalysisMuch of observed data falls under the ‘yes’ or ‘no’ category. This course studies the statistical techniques to analyze such categorical data. Categorical Data Analysis LabStudents practice integrating theory and practice by learning to use SAS statistics package to analyze real data related to the theory taught in Categorical Data Analysis. Nonparametric Statistics & LabA statistical technique that uses data symbols and sequence as a means of analysis. Used when hypothesizing a distribution function of a variable is not feasible. Spatial StatisticsThis lecture will focus on high-quality graph-based analysis of spatial statistics. In the case of Geo data, students will learn how to analyze, based on kriging, block kriging, and the generally-used variogram and median polish. In the case of Lattice data, students will learn to use SAR, CAR, and SMA models. Spatial Statistics LabStudents will use a statistical package to analyze actual data in environmental, geographical, and agricultural studies. Statistics for FinanceStudents familiarize themselves with statistical methodologies and theories for financial material analysis. Statistics for Finance LabStudents practice theories that they learned in the 'Statistics for Finance course using a statistical package, thereby developing practical material analysis skills. Quality ControlThis course deals with statistical techniques needed for improving and managing product quality. Seminar in StatisticsNew themes or special issues in statistics will be selected and thoroughly reviewed. Statistical Consulting & LabApplies to actual data for analysis the different statistical techniques acquired from various courses to gain practical experience. Statistical Methodology & LabThis course introduces the latest research trends in statistics and enables students to use a wide array of tools. Statistical Survey & LabStudies scientific methods of sampling. Deals with statistical data collection and analysis through actual sampling survey. Stochastic Process AnalysisExpands on the concept of basic probability and discusses new concepts. Learns about Poisson distribution, Markov Chain, and a queue. |