STATISTICS
Catalog pages 559-565
Subject abbreviation: STAT College of Natural and Agricultural Sciences
Xinping Cui, Ph.D., Chair Department Office 1337 Olmsted Hall statistics.ucr.edu
Business Office
- (951) 827-3774
Graduate Student Affairs 1140 Batchelor Hall
- (951) 827-4716 or (800) 735-0717
stat@ucr.edu
CNAS Undergraduate Advising Center 1223 Pierce Hall
- (951) 827-7294
Professors Xinping Cui, Ph.D. Subir Ghosh, Ph.D. Daniel R. Jeske, Ph.D. Yehua Li, Ph.D. Weixin Yao, Ph.D.
Professors Emeriti Barry C. Arnold, Ph.D., Distinguished Professor Keh-Shin Lii, Ph.D. S. James Press, Ph.D. David J. Strauss, Ph.D.
Associate Professors James M. Flegal, Ph.D. Jun Li, Ph.D. Shujie Ma, Ph.D. Shuheng Zhou, Ph.D
Assistant Professors Analisa Flores, Ph.D. Yingzuo (Joyce) Fu, Ph.D. Esra Kürüm, Ph.D. Wenxiu Ma, Ph.D. ** Lecturers Emerita Barbara Beaver, M.S. Linda M. Penas, Ph.D.
Major
The Department of Statistics is concerned with teaching, research, and statistical consulting. The courses offered present a comprehensive spectrum of statistical and probability theory, in so far as such theory is necessary for the un- derstanding and analysis of observational data. The applications of the theory delineated in the courses may be made in any field of experience. Laboratory classes in which examples related to the student’s actual field of interest are worked out, play an essential part. The department offers both B.A. and B.S. degrees in Statistics as well as a B.S. in Statistics with options in Statis- tical Computing and Quantitative Management; the M.S. degree in Statistics; and the Ph.D. degree in Applied Statistics.
The courses STAT 040, STAT 048, STAT 100A, STAT 100B, STAT 104/BUS 104, STAT 110, STAT 130, STAT 140, STAT 146, and STAT 155 are intended for students of other departments who wish a knowledge of statistical techniques. Some of them may be taken as electives by statistics majors. The objective of these courses is to acquaint the student with the elements of statistics with only the necessary amount of mathematical training.
STAT 147 and STAT 157 are computer-oriented courses intended for students who would like to learn about computer programming in the most important languages and who would like to learn about statistical computing.
Transfer Students Students transferring to the Statistics major must complete courses comparable to the following one-year sequence before they transfer:
MATH 007B or MATH 009B or MATH 09HB, MATH 009C or MATH 09HC, each course completed with a grade of “B-” or better.
Computing Laboratories
The department has two large undergraduate Windows-based teaching laboratories. These laboratories provide users access to a wide variety of statistical software packages including SAS, R, Minitab, and SPSS, and other popular software packages including Mathematica, Adobe Acrobat, and Microsoft Office. The department also houses the Garber Research Computing Laboratory, which is a combination of a UNIX/LINUX-based system with multiple workstations and several Windows-based machines.
Statistical Consulting Center
The Statistical Consulting Collaboratory provides a broad range of analytical and statistical support services, including design of experi- ments, statistical inference, hypothesis testing, and data modeling for the campus community, and promotes cooperative research between statisticians and other investigators in all fields of the application of statistics. The Collaboratory is staffed by:
Yehua Li, Ph.D., Faculty Director and Karen Huaying Xu, Ph.D., Associate Director and rotating graduate students.
Change of Major Criteria
All courses taken to fulfill major requirements must be completed with grades of “C-” or better after repeats.
Freshman (0-44.9 units earned) Completion of the following with grade of “C-“or better and must be in good academic standing. (2.0 quarter and cumulative GPA)
MATH 007B or MATH 009B or MATH 09HB Sophomores (45-89.9 earned units) Completion of the following with grade of “C-“or better and must be in good academic standing. (2.0 quarter and cumulative GPA)
MATH 007B or MATH 009B or MATH 09HB, MATH 009C or MATH 09HC
4 (four) additional units of college-level Mathe- matics or Statistics (STAT 100A recommended)
Juniors (90-134.9 earned units) Completion of the following with grade of “C-“or better and must be in good academic standing. (2.0 quarter and cumulative GPA)
MATH 007B or MATH 009B or MATH 09HB, MATH 009C or MATH 09HC
12 (twelve) additional units of college level Math- ematics or Statistics (MATH 031, STAT 100A and STAT 147 recommended)
Seniors (135 or more earned units) Completion of the following with grade of “C-“or better and must be in good academic standing. (2.0 quarter and cumulative GPA)
MATH 007B or MATH 009B or MATH 09HB, MATH 009C or MATH 09HC, MATH 031, STAT 100A (or equivalent), STAT 100B (or equivalent), STAT 147, STAT 157
Major change requests are reviewed during the 2nd, 3rd, 4th & 10th weeks of each quarter.
Transfer Selection Criteria
Applicants to majors in the College of Natural and Agricultural Sciences are selected on the basis of academic preparation, as assessed by their GPA and the strength of preparation for the intended major. A GPA of at least 2.70 is required. (This is a baseline GPA for consideration and not a guarantee of admission.)
In addition, applicants will need to complete college courses comparable to at least two of the following UCR year-long sequences in order to meet selection criteria for this major. Courses must be completed with “C” grades or better:
MATH 007B or MATH 009B or MATH 09HB, and MATH 009C or MATH 09HC (manda- tory). A grade of “B-” or better is required in this series.
And at least one sequence from:
BIOL 005B (and BIOL 005C, if articulated)
CHEM 01LB, CHEM 001C, and CHEM 01LC
- 3. Organic chemistry (one-year lower-division),
each course completed with a grade of “B” or better
PHYS 02LB PHYS 002C, and PHYS 02LC
course in linear algebra.
Courses must be completed with a letter grade, with no grade lower than a “C.” Students should visit assist.org for updated and comprehensive major preparation requirements.
University Requirements
See Undergraduate Studies section.
College Requirements
See College of Natural and Agricultural Scienc- es, Colleges and Programs section.
Some of the following requirements for the major may also fulfill some of the college’s breadth requirements. Consult with a department advisor for course planning.
Major Requirements
The department offers both a B.A. and a B.S. degree in Statistics as well as a B.S. in Statistics with options in Statistical Computing and Quan- titative Management.
The major requirements for the B.A. and the B.S. degrees in Statistics are as follows:
For the Bachelor of Arts
- 1. Core requirements (24–25 units)
or MATH 09HA, MATH 007B or MATH 009B or MATH 09HB, MATH 009C or MATH 09HC, MATH 010A
- b) MATH 031
- 2. Upper-division requirements
- a) Thirty-six (36) units of upper-division
course work to include thirty-two units in (1) and four units in (2)
STAT 160B, STAT 160C, STAT 170A, STAT 170B, STAT 171
- (2) Four (4) units of STAT 183 taken
during senior year
Note: An introductory Statistics class such as STAT 048, or STAT 100A is strongly recommended.
For the Bachelor of Science
- 1. Core requirements (24–25 units)
or MATH 09HA, MATH 007B or MATH 009B or MATH 09HB, MATH 009C or MATH 09HC, MATH 010A
- b) MATH 031
- 2. Upper-division requirements (52 units)
- a) Thirty-six (36) units of upper-division
course work to include thirty-two units in (1) and four units in (2)
STAT 160B, STAT 160C, STAT 170A, STAT 170B, STAT 171
- (2) Four (4) units of STAT 183 taken
during senior year
- b) Sixteen (16) units of additional course work
chosen from STAT 110, STAT 127/BUS 127, STAT 130, STAT 140, STAT 146, STAT 161, STAT 167 or from related fields with the approval of the major advisor.
Note: An introductory Statistics class such as STAT 048, or STAT 100A is strongly recommended.
Statistical Computing Option The requirements for this option are in addition to the requirements for the B.S. in Statistics, except that the option requirement takes the place of the 16 units in 2.b) above.
- 1. Lower-division requirements (8 units):
- 2. Upper-division requirements (16 units)
- a) STAT 167
- b) Twelve (12) units of coursework selected
from
Quantitative Management Option The requirements for this option are in addition to the requirements for the B.S. in Statistics, except that the option requirement takes the place of the 16 units in 2.b) above.
- 1. Lower-division requirements (18 units)
for those who choose area (3) Accounting under below 2 b).
- 2. Upper-division requirements (16 units)
- b) Three courses from one area:
- (1) Marketing: BUS 103 and two other
courses from BUS 111, BUS 112, BUS 114, BUS 115, BUS 116, BUS 117, BUS 118, BUS 119
- (2) Finance: BUS 106 and two other
courses from BUS 138, BUS 139, BUS 140
BUS 165B, BUS 168A, BUS 168B, BUS 169A
- (5) Information Systems: BUS 101 and
two other courses from BUS 171, BUS 173, BUS 174, BUS 175
- (6) Operations & Supply Chain Manage-
ment: BUS 122, BUS 123, BUS 124, BUS 125, BUS 126, BUS 128, BUS 130
Minor
The minor in Applied Statistics is designed to give students in either the social sciences or the physical sciences a cohesive set of statistics courses to deal with the data analytic aspects of their disciplines and to understand the statistical summaries that are encountered in everyday activities.
The requirements for the minor consist of at least 24 and not more than 28 upper-division units in Statistics to include the following:
- 2. Twelve (12) units from STAT 110, STAT 127/BUS 127, STAT 130, STAT 140, STAT 146, STAT 157, STAT 160A, STAT 160B,
Of the specified upper-division units, a minimum of 16 must be unique to the minor and may not be used to satisfy major requirements.
No more than 4 units may be in courses numbered 190 through 199. See Minors under the College of Natural and Ag- ricultural Sciences in the Colleges and Programs section of this catalog for additional information on minors.
Graduate Programs
The Department of Statistics offers the M.S. degree in Statistics and the Ph.D. degree in Applied Statistics.
Admission Domestic and international applicants must supply scores from the GRE general exam. In addition, TOEFL scores must be supplied by applicants whose first language is not English who do not hold a degree from a U.S. institu- tion. The department considers applications for teaching assistantships at the same time as those for fellowships. Normally, Ph.D. eligible admitted students are awarded five year financial assistantship.
Master’s Program The Department of Statistics offers the M.S. degree in Statistics.
Admission Students entering the Master’s program must have completed a bachelor’s degree with sufficient training in Mathematics and a strong background in Statistics or have taken STAT 160A, STAT 160B, STAT 160C, STAT 161 and STAT 170A, STAT 170B, STAT 171, covering basic areas of probability and statistics.
Students must also meet the other requirements for admission as specified by the Graduate Division. The program is Plan II (Comprehensive Examination) described in the Graduate Studies section of this catalog. No foreign language is required.
Course Work Graduate students in Statistics must have taken appropriate courses in Mathematics to give them the proper background for graduate work in Statistics. Important areas include Calculus (at least MATH 009A, MATH 009B, MATH 009C, and MATH 010A) and Linear Algebra (at least MATH 131).
Degree Requirements Students are required to complete a minimum of 41 units that must include STAT 201A, 201B, 201C, STAT 202A, 202B, 202C, STAT 206, STAT 208, STAT 288, and two consecutive quarters of STAT 293.
Comprehensive Examination All M.S. students are required to take a written comprehensive examination and pass at the M.S. level, with no more than two attempts allowed to pass. The written qualifying exam is offered two times in each year, the first in Summer and the second in Fall quarter. All students in the program are required to take their first attempt of the exam in Summer. The second exam in Fall can only be taken by the students· who fail to pass the exam in their first attempt. Exceptions can be made based on the approval of Graduate Advisor. A program proposal is not required.
Advancement to Candidacy Advancing to candidacy takes place when stu- dents complete all the course requirements and pass the written exam. Professional Development Requirement: Two quarters of STAT 293 give students training in (a) the ability to use fundamental statistical techniques to formulate problem and solution in diverse real-world application; (b)the ability to use at least one statistical software package to conduct statistical data analysis; (c) the ability to communicate with researchers in statistical com- munity and other disciplines by using graphical methods to display and interpret information.
Petition to Change Degree Objective Some students can petition to change their degree objective from the M.S. degree to the Ph.D. program in Applied Statistics depending on their performances in the written comprehensive exam and coursework.
Doctoral Degree The Department of Statistics offers the Ph.D. degree in Applied Statistics.
The program emphasizes both the theory of statistics and its application to special fields of interest. In addition to courses in statistics, a student would take courses in a substantive field from which a thesis problem requiring a statistical approach should arise. The substan- tive field may be chosen from areas such as biology, economics, political science, psychology or administration. Specialties might include, for example, population genetics, biological control, hydrology, epidemiology, geology, discrimination in learning, or scales and measurements.
Admission Students entering the program must have completed either a bachelor’s degree or a Master’s degree in Statistics, Computer Science, Mathematics, or some other quantitatively based discipline. Students lacking sufficient prepara- tion for some statistics graduate classes must complete some preparatory work in Statistics, Computer Science, or Mathematics depending on their background. Students also have to meet the general requirements listed in the Graduate Studies section of this catalog.
Change Degree Objective Students with a Batchelor’s degree in the Ph.D. program who have satisfied all the requirements for the Master’s degree may apply for this de- gree while completing requirements for the Ph.D. program.
Ph.D. Course Requirements I. Course Requirements
(A) Core: STAT 202A, STAT 202B, STAT 202C, STAT 206, STAT 207, STAT 208, STAT 210A, STAT 210B, STAT 288, and two consecutive quarters of STAT 293.
(B) 20 units of additional 200 level Statistics courses not graded S/NC, excluding 201A, STAT 201B, STAT 201C, STAT 231A and STAT 231B.
(C) Substantive: Four units (or equivalent) in substantive field with a minimum GPA of 3.00 appropriate to the student’s inter- est. The requirement may be waived if the student already has the background in the substantive area.
(D) Nine units of STAT 251 Statistics Collo- quium before graduation.
II. Teaching: At least three quarters of teaching service. III. Miscellaneous: In preparation for the written qualifying examinations, a student can register for up to 6 units of STAT 291 (Individual Studies in Coordinated Areas) only during quarters that the student actually participates in qualifying examinations.
Foreign Language Requirement None
Written and Oral Qualifying Examination All Ph.D. students are required to take a written qualifying examination and pass at the Ph.D. level, with no more than two attempts allowed to pass. The written qualifying exam is offered two times in each year, the first in Summer quarter and the second in Fall quarter. Students who start coursework with STAT 210A take the first attempt at the written exam Summer quarter before the start of their second year. Students who start coursework with STAT 201A take the first attempt at the written exam in Summer quarter before the start of the third year. The second exam can only be taken by students who fail to pass the exam in their first attempt. Students must take the second attempt in the Fall quarter immediately following the Summer quarter of the failed attempt. Exceptions can be made based on the approval of the Graduate Advisor. After passing the written exam the student will work with advisor to prepare for the oral examination.
Advancement to Candidacy Oral Qualifying Exam must be completed no later than the end of Year Three of the student’s graduate training. Exceptions can be made based on the approval of Graduate Advisor. Advancing to candidacy takes place when students complete all the course requirements and pass the written and oral exams.
Dissertation The dissertation is pertinent to a problem area specified by the candidate’s substantive field and is submitted in accordance with the require- ments of the Graduate Division, Riverside.
Teaching Requirement All students in the program, for at least three quarters, assist with laboratory (practice) sections of undergraduate Statistics courses or individual tutorial (consultative) work with under- graduate students.
Professional Development Requirement:
- 1. STAT 293 gives students training in
- (a) the ability to use fundamental statistical
techniques to formulate problem and solution in diverse real-world application;
- (b) the ability to use at least one statistical
software package to conduct statistical data analysis;
- (c) the ability to communicate with
researchers in statistical community and other disciplines by using graph- ical methods to display and interpret information.
- 2. Professional writing development:
Students are trained to prepare a research proposal on topics relevant to the student’s research area as part of their written quali- fying exam.
- 3. Pedagogy: Ph.D. students are required to
enroll in Teaching Assistant Development Program (TADP) Orientation in order to TA and enroll in STAT 302 during the quarter they teach. Three quarters of TA experience required.
Normative Time to Degree 15 quarters
Courses
- STAT 040: Elements of Data Science (4 units)
- STAT 048: Statistics For Business (5 units)
- STAT 100A: Introduction to Statistics (5 units)
- STAT 100B: Introduction to Statistics (5 units)
- STAT 104: Decision Analysis and Management Science (4 units)
- STAT 110: Biostatistical Methods in Life Sciences (5 units)
- STAT 127: Introduction to Quality Improvements (4 units)
- STAT 130: Sampling Surveys (4 units)
- STAT 140: Nonparametric Techniques (4 units)
- STAT 146: Statistical Forecasting Techniques (4 units)
- STAT 147: Introduction to Statistical Computing (4 units)
- STAT 155: Probability and Statistics For Science and Engineering (4 units)
- STAT 156A: Mathematical Statistics With Applications For Data Science I (4 units)
- STAT 156B: Mathematical Statistics With Applications For Data Science Ii (4 units)
- STAT 157: Statistical Computer Packages (4 units)
- STAT 160A: Elements of Probability and Statistical Theory (4 units)
- STAT 160B: Elements of Probability and Statistical Theory (4 units)
- STAT 160C: Elements of Probability and Statistical Theory (4 units)
- STAT 161: Introduction to Probability Models (4 units)
- STAT 167: Introduction to Data Science (4 units)
- STAT 170A: Regression Analysis (4 units)
- STAT 170B: Design of Experiments (4 units)
- STAT 171: General Statistical Models (4 units)
- STAT 183: Statistical Consulting (4 units)
- STAT 190: Special Studies (1 to 5 units)
- STAT 197: Research For Undergraduates (2 to 4 units)
- STAT 198I: Individual Internship in Statistics (1 units)
- STAT 199H: Senior Honors Research (1 to 5 units)
- STAT 201A: Theory of Probability and Statistics (4 units)
- STAT 201B: Theory of Probability and Statistics (4 units)
- STAT 201C: Theory of Probability and Statistics (4 units)
- STAT 202A: Regression, Anova, and Design (4 units)
- STAT 202B: Regression, Anova, and Design (4 units)
- STAT 202C: Regression, Anova, and Design (4 units)
- STAT 203A: Bayesian Statistics I (4 units)
- STAT 203B: Bayesian Statistics Ii (4 units)
- STAT 204A: Advanced Design and Analysis of Experiments (4 units)
- STAT 204B: Advanced Design and Analysis of Experiments (4 units)
- STAT 205: Discrete Data Analysis (4 units)
- STAT 206: Statistical Computing (4 units)
- STAT 207: Advanced Statistical Computing (4 units)
- STAT 208: Statistical Data Mining Methods (4 units)
- STAT 209: Software Tools For Big Data Analysis (4 units)
- STAT 210A: Advanced Theory of Probability and Statistics (4 units)
- STAT 210B: Advanced Theory of Probability and Statistics (4 units)
- STAT 215: Stochastic Processes (4 units)
- STAT 216A: Time Series Analysis (4 units)
- STAT 216B: Time Series Analysis (4 units)
- STAT 217: Mixture Models and Their Applications (4 units)
- STAT 218: Survival Analysis (4 units)
- STAT 220A: Multivariate Analysis (4 units)
- STAT 220B: Multivariate Analysis (4 units)
- STAT 230: Sampling Theory (4 units)
- STAT 231A: Statistics For Biological Sciences (4 units)
- STAT 231B: Statistics For Biological Sciences (4 units)
- STAT 232: Statistics For Business Analytics (4 units)
- STAT 240: Nonparametric Methods (4 units)
- STAT 251: Statistics Colloquium (1 units)
- STAT 255 (E-Z): Seminar On Topics in Applied Statistics (4 units)
- STAT 255G: Advanced Linear and Generalized Linear Models (4 units)
- STAT 255I: Seminar in Order Statistics (4 units)
- STAT 255J: Longitudinal Data Analysis (4 units)
- STAT 255K: Inference For Stochastic Process (4 units)
- STAT 255M: Industrial Statistics (4 units)
- STAT 255N: Seminar in Advanced Statistics (4 units)
- STAT 255Q: Reliability and Life Testing Models (4 units)
- STAT 255R: Statistics For Epidemiological Studies (4 units)
- STAT 255S: Advanced Topics in Health Statistics (4 units)
- STAT 255T: Modern Nonparametric Statistics (4 units)
- STAT 288: Literature Seminar (1 units)
- STAT 290: Directed Studies (1 to 6 units)
- STAT 291: Individual Studies in Coordinated Areas (1 to 6 units)
- STAT 292: Concurrent Analytical Studies (1 units)
- STAT 293: Methods in Applied Statistics (4 units)
- STAT 297: Directed Research (1 to 6 units)
- STAT 299: Research For Thesis Or Dissertation (1 units)
- STAT 302: College Teaching Practicum (1 to 4 units)