國立高雄大學統計學研究所

Institute of Statistics, National University of Kaohsiung

 

Introduction    Faculty     Facilities    Program      Home

Introduction

        The Institute of Statistics was founded in 2003. It offers M.S. and Ph.D. programs with special emphasis on Industrial Statistics, Financial Statistics and Biostatistics. In addition to fundamental theoretical statistics courses, students are encouraged to take elective courses from the aforementioned three areas of applied statistics.

        The three areas of this institute have good potential in statistical studies, and their theories and applications need much more research:

 Industrial Statistics:

         Statistics researchers have promoted the use of industrial statistics in Taiwan for many years and have witnessed the success of such activities. Throughout the years, researchers have helped lay the foundations of putting the statistical concepts and corresponding methods such as product design, quality control and assurance in manufacturing and inspection processes, and so on, into practice. All these have helped Taiwanese industries to institute product warranty, monitoring and inspection processes that meet international standards.

 Financial Statistics:

         In the past twenty years, new computational techniques and methods caused major influences in the investment processes and brought new changes to the entire financial sector. Today many international banks and financial institutions utilize these new computational methods in technique innovation and have consequently increased their competitive strength. Techniques and tools used in the fields of applied mathematics, probability and statistics, computer science, and economics, etc., are included in these computational methods. The new computation methods also contain fiscal theories to produce financial policies and products that solve questions like product warranty assessment, investment compound structure, risk management, and case simulation.

Biostatistics:

        The focus is to apply statistics in biological problems, particularly in health and disease related researches. Use existing methods, or develop new statistical analysis methods to solve questions in the study of biology, medicine, pharmacology, epidemiology, and environmental medicine.

Faculty

Currently, the institute consists of seven faculty members.

Name

Academic Background

Research Interests

Phone Numbers and E-mail

Ray-Bing Chen

Associate Professor and Director

B.S. in Applied Mathematics, National Sun Yat-sen University, 1994

M.S. in Applied Mathematics, National Sun Yat-sen University, 1996

Ph.D. in Statistics, University of California, Los Angeles, 2003

Statistical Computing,

Experimental Design,

Statistical Simulation,

Independent Component Analysis.

886-7-5919523

rbchen@nuk.edu.tw

Kam-Fai Wong

Assistant Professor

 

B.S. in Applied Mathematics, National Sun Yat-sen University, 1999

M.S. in Applied Mathematics, Statistics Division, National Sun Yat-sen University, 2001

Ph.D. in Biostatistics, Columbia University, 2004

Survival Analysis,

Incomplete Data Methods,

Experimental Designs,

Biostatistics.

886-7-591952

wongkf@nuk.edu.tw

Shu-Hui Yu

Assistant Professor

Ph.D. in Statistics, National Tsing Hua University, 2000

Financial Time Series, Financial Econometrics, Risk Management, Model Selection

886-7-5919700

shuhui@nuk.edu.tw

Ching-Kang Ing

Professor (joint appointment)

Ph.D. in Statistics, National Tsing-Hua University, 1996

Statistical  Model Selection,

Large Sample Theory,

 Time Series Analysis,

Financial Mathematics

886-7-5919417

cking@stat.sinica.edu.tw

Yu-Cheng Chen

Adjunct Associate Professor

Ph.D. in Statistics, National Tsing-Hua University, 1996

Statistics

886-7-5919525

ycchen@mail.chna.edu.tw

Jyh-Cherng Su

Adjunct Associate Professor

Ph.D. in Statistics, National Sun  Yat-sen  University, 1997

Stochastic Processes,

Applied Probability

886-7-5919525

sujc@cc.cma.edu.tw

Lan-Ping Wu

Teaching Assistant

LL.B. in Law, Tunghai University, 1997

Survey Sampling.

886-7-5919362

wulp@nuk.edu.tw

 

Facilities

         The Institute has a fully equipped statistical survey center. In order to let the students have practical training, this center can be used as a computer lab as well as to administer telephone interviews and research plans. We also provide offices for students to study and execute projects.

   

 

Program

 

Master Degree Program

The Institute of Statistics confers the degree of Master of Science in Statistics. Usually it takes two years to complete a minimum of 24 credits.

Compulsory Courses

Topic Credit Topic Credit

Seminar (I)

1

Seminar (II)

1

Optional Courses

Topic

Credit

Year

Topic

Credit

Year

Fundamental Statistics 3 1

Survival Analysis

3

2

Mathematical Statistics

3

1

Statistical Consultant

3

2

Regression Analysis

3

1

Topics in Sampling Techniques

3

2

Probability Theory

3

1

Reliability Analysis

3

2

Experimental Design

3

1

Large Sample Theory

3

2

Statistical Quality Control

3

1

Independent Study in Independent Component Analysis

3

2

Statistical Simulation

3

1

Independent Study in Survival Analysis 3 2

Nonparametric Statistics Analysis

3

1

Independent Study in Statistical Computing

3 2

Statistical Computing

3

1

     

Stochastic Processes

3

1

     

Measure Theory

3

1

     

Sampling Techniques

3

1

 

 

 

Time Series Analysis

3

1

 

 

 

Stochastic Financial Model

3

1

 

 

 

Martingale Theory

3

1

 

 

 

Applied Probability Models

3

1

 

 

 

Discrete Data Analysis

3

1

 

 

 

Introduction to Statistical Genetics

3

1

     
Biostatistics

3

1

     
Credit Risk Analysis

3

1

     

 

Ph.D Program

Compulsory Courses

Topic Credit Topic Credit

Seminar (I)

1

Seminar (II)

1

Optional Courses

Topic

Credit

Year

Topic

Credit

Year

Topic

Credit

Year

Advanced Probability

3

1

Advanced Survival Analysis

3

2

Statistical Consultant

3

3

Statistical Inference

3

1

Advanced Experimental Design

3

2

 

   

Multivariate Analysis

3

1

Advanced Stochastic Processes

3

2

 

   

Applied Probability Models

3

1

Advanced Time Series Analysis

3

2

 

   

Linear Models

3

1

Machine Learning

3

2

 

 

 

Independent Component Analysis

3

1

     

 

 

 

Distribution Theory

3

1

 

   

 

 

 

Stochastic Analysis (1)

3

1

 

   

 

 

 

Stochastic Analysis (2)

3

1

 

 

 

 

 

 

Financial Econometrics

3

1

 

 

 

 

 

 

Topics in Stochastic Processes

3

1

           

Independent Study in Stochastic Processes

3

1

 

 

 

 

 

 

Independent Study in Experimental Design

3

1