Doctor of Philosophy in Statistics
A total of 24 graduate course units (courses) including:
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First Year |
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Fall
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Spring
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Statistics
425
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Statistics
424
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Statistics
510
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Statistics
426
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Math
447
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Statistics 511
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Second Year
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Fall
|
Spring
|
|
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Statistics
429
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Statistics
427
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Statistics 525
or 571
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Statistics
428
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Statistics 553 or 578
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Statistics 554 or 575 |
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Third Year
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Fall
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Spring
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Statistics 553 or 578
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Statistics 554 or 575
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Additional courses
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Additional courses
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International students are expected to pass the SPEAK/TSE exam on campus
during their first year as Ph.D. students (see
Teaching Requirements).
Because teaching is fundamental to both financial support and career development,
international students who do not pass the SPEAK exam by January of the
second year are subject to a reduction in financial aid.
Qualifying Examinations
Every eligible Ph.D. student is required to
take the Qualifying exam in the Fall semester after the first full year. A
student receiving a passing score on the exam becomes a Ph.D. candidate and
maintains regular progress towards the Ph.D. degree. A students who does not
achieve a passing score will have one of two possible outcomes: (1) near
passing, allowed to make a second attempt the following year, or (2)
terminal non-passing score.
Reading List for Qualifying Examinations
, Scheffe (Wiley)*
Statistics for Experimenters
, Box, Hunter, and Hunter (Wiley)*
Applied Linear Regression
, Weisberg (Wiley)
Design and Analysis of Experiments
, Montgomery (Wiley)
Applied Regression Analysis
, Draper and Smith (Wiley)
Categorical Data Analysis
, A. Agresti (Wiley)*
Mathematical Statistics
, Bickel and Doksum (Prentice Hall), 2nd
edition*
Theory of Point Estimation , Lehmann (Wiley), 2nd edition*
Mathematical Statistics: A Decision Theoretic Approach , Ferguson
(Academic Press)
* Primary text(s)
Thesis
Advisor
Preliminary
Examination
Preliminary
Examination Committee
Teaching
Requirements
Doctoral Thesis and Defense Examination
After the defense examination had been
passed, copies of the thesis, whose format and physical appearance have been
approved by the Department of Statistics and the Graduate College, are to be
submitted to the Thesis Office of the Graduate College for final approval.
Additional PhD Program Policies
+
Annual Review of Ph.D. Candidates
The Graduate Committee of the Department of Statistics conducts an annual
review of each candidate's progress toward completion of the Ph.D. degree.
Any candidate whose progress is not satisfactory is subject to dismissal
from the program. The following guidelines, in addition to the course requirements,
will be used in measuring a candidate's satisfactory progress. The student
must:
- Take the Qualifying exam in the
Fall semester after the first full year. A student receiving a passing score on
the exam becomes a Ph.D. candidate and maintains regular progress towards the Ph.D. degree.
A students who does not achieve a passing score will have one of two possible outcomes:
(1) near passing, allowed to make a second attempt the following year, or (2) terminal non-passing score.
-
Pass the preliminary exam by the end of January of the fourth year of study
+
Departmental Seminars
The Department of Statistics sponsors seminars where researchers from
academia or industry discuss their recent research. Each student enrolled
in the Ph.D. program is expected to attend the seminars. Participation
in the seminar series is one aspect given consideration by the Graduate
Committee in its annual review of the student's performance.
+ Graduate Course GPA Requirement
In order to earn an M.S. or Ph.D. degree in Statistics, the candidate must maintain
an overall minimum grade point average of 3.0 (A=4.0) in the course work
completed.
+ Changing from Master's to Ph.D. Program
Students in the Master's degree program who wish to enter the Ph.D.
program must apply through petition to the department. Such applications
will be considered at the same time as those of other students applying
to the Ph.D. program.
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