Graduate School - Catalog of Studies - University of Arkansas

The Graduate School: Departments and Course Descriptions
• Assistant Professor De Oliveira
• Research Associate Duncan, Thompson
Degree Conferred:
M.S. (STAT)
The Master of Science degree program in statistics is intended
to provide training for a professional career, principally in applied
statistics. Toward this end, students with degrees other than in mathematics,
as well as mathematics majors, are encouraged to apply for
admission. Requirements for this degree may be satisfied by completing
the Statistics, Biometry, or Educational Statistics concentration.
A suggested outline of course work may be obtained by contacting
the Chair of Studies.
Requirements for the Master of Science Degree:
Statistics Concentration: A candidate must complete a minimum
of 30 hours of graduate credits that must include the following: STAT
4001L and STAT 4003 or STAT 4033, STAT 4373, STAT 5103, STAT
5113, STAT 5313, STAT 5333, STAT 5343, STAT 5353, STAT 5383
and STAT 610V (3), in addition to MATH 4363. CSCE 1023/1021L,
MATH 3083, and MATH 4513 or MATH 3423 (or their equivalent)
are prerequisites and otherwise will be considered as deficiencies.
Biometry Concentration: A candidate must complete a minimum
of 36 graduate credits that must include the following: STAT 4001L
(or AGST 4011), STAT 4003 (or AGST 4023), STAT 4373 (or AGST
5014), STAT 5103, STAT 5113, STAT 5313, STAT 5333, and STAT
5353, and AGST 5803, AGST 5901, and AGST 5913. MATH 2574
and MATH 3083, or their equivalents, are prerequisites and otherwise
will be considered as deficiencies.
Educational Statistics Concentration: A candidate must complete
a minimum of 30 graduate credits that must include the following:
STAT 4001L and STAT 4003 (or EDFD 6403), STAT 4373 (or
EDFD 6413), STAT 5103, STAT 5113, STAT 5313, STAT 5333, and
STAT 5353, EDFD 6653, and 6 hours of EDFD 699V. MATH 2574
and MATH 3083, or their equivalents, are prerequisites and otherwise
will be considered as deficiencies.
For the requirements for the Ph.D. in Mathematics with an emphasis
in Statistics, see the Ph.D. in Mathematics program description.
Statistics (STAT)
STAT4001L Statistics Methods Laboratory (Sp, Fa) Emphasis on use of integrated
statistical packages to complement statistical methodology being covered concurrently
in STAT 4003. Corequisite: STAT 4003.
STAT4003 Statistical Methods (Sp, Fa) Concepts of probability, sampling, regression,
and experimental design. Corequisite: STAT 4001L. Prerequisite: MATH 2554.
STAT4033 Nonparametric Statistical Methods (Sp, Su, Fa) Chi square tests.
Kolmogorov-Smirnov goodness-of-fit tests, the Mann-Whitney and Wilcoxon 2-sampling tests,
and various nonparametric measures of association. Prerequisite: MATH 1203 and junior
standing.
STAT4043 Sampling Techniques (Sp, Su, Fa) Considers optimum techniques of
simple random, stratified random, cluster, systematic and multistage sampling from finite
populations subject to cost precision constraints. Wide range of application. Prerequisite: STAT
4003.
STAT4373 Experimental Design (Sp) Topics in the design and analysis of planned
experiments, including randomized block, Latin square, split plot, and BIB designs, use of fractional
factorial replication, and repeated measures. Prerequisite: STAT 4003.
STAT5103 Theory of Statistics (Fa) Fundamentals of probability, distribution theory,
and random variables; expected value, moments, and generating functions; classic parametric
families of distributions; central limit theorems, inequalities, and laws of large numbers.
Prerequisite: MATH 2574.
STAT5113 Statistical Inference (Sp) Statistical theory of estimation and testing
hypothesis. Prerequisite: STAT 5103.
STAT5313 Regression Analysis I (Sp) Matrix formulation of least squares and multiple
regression models. Estimability and use of the generalized inverse in analysis of variance
and covariance models of less than full rank. Computational aspects are emphasized.
STAT5322 Statistical Packages (Sp, Fa) Emphasis on use of digital computer to
perform statistical data analysis through the use of integrated statistical packages. Instruction
includes use of the SAS, SPSS, and BMD packages. Data management operations as well as
formal statistical procedures such as ANOVA and regression are considered. Prerequisite: 3
hours of statistics.
STAT5333 Analysis of Categorical Responses (Sp) A modern treatment, including
extensions of classical probit analysis, multivariate logistic models, GSK model, loglinear
models in analysis of multiway contingency tables, and nonmetric multidimensional scaling.
Prerequisite: STAT 5313.
STAT5343 Stochastic Processes (Sp, Su, Fa) Markov chains, branching processes,
birth-death processes, queuing theory with application. Prerequisite: STAT 5103.
STAT5353 Methods of Multivariate Analysis II (Sp) Hotelling’s T2 procedures,
multivariate analysis of variance, discriminant function analysis and problems of classification,
multidimensional scaling, and cluster analysis. Prerequisite: STAT 5313.
STAT5383 Time Series Analysis (Sp, Su, Fa) Identification, estimation and forecasting
of time series. Spectral analysis including the fast Fourier transform computational aspects
are emphasized. Prerequisite: STAT 5103.
STAT5413 Spatial Statistics (Fa) Applied spatial statistics, covering univariate spatial modeling
(kriging), multivariate spatial modeling (cokriging), methods of estimation and inference, and
spatial sampling designs. Special relevance to remote sensing. Prerequisite: STAT 5313.
STAT610V Research in Statistics (Irregular) (1-4) Prerequisite: graduate standing.
STAT639V Topics in Statistics (Irregular) (1-3) Current state of the art on methodology
in one of the topics: multivariate analysis, time series analysis, sequential analysis, factor
analysis, or biostatistics. May be repeated.
TELECOMMUNICATIONS ENGINEERING
See Electrical Engineering.
TRANSLATION (TRAN)
John T. DuVal
Chair of Studies
333 Kimpel Hall
479-575-4301
http://www.uark.edu/depts/english/PCWT/trans.htm/
See English and Foreign Language faculty lists.
Degree Conferred:
M.F.A. (TRAN)
Requirements for M.F.A. in Translation: Candidate must demonstrate
a satisfactory knowledge of two foreign languages. The candidate
must take a minimum of 60 graduate hours. A candidate who
already holds a graduate degree may be able to complete the program
with 42 hours; a candidate who does not have at least a minor in
English may be required to take additional courses.
The following courses are required:
HOURS
Translation and Workshop 15
Form and Theory of Translation, or
Intro. to Comparative Literature 3
Fiction Writing Workshop 3
Form and Theory of Fiction 3
Poetry Writing Workshop 3
Form and Theory of Poetry 3
Twenty-four hours chosen from the literature of foreign languages,
including at least 6 hours from each of the candidate’s source languages.
Teaching assistants may substitute ENGL 5003 Composition
Pedagogy or FLAN 5063 Teaching Foreign Languages at the College
Level for literature courses in a foreign language. Candidates without
previous history of English or Latin courses must substitute ENGL
6193 or LATN 3063.
There will also be a thesis consisting of a translated collection of
poems and/or stories or a translated novel, epic, or drama, as well as
comprehensive written and oral examinations. A student must register
for a minimum of six hours of M.F.A. thesis.
All degree requirements must be completed within six consecutive
calendar years from the date of first enrollment.
Other Requirements: The policies and procedures approved for
the Master of Arts and the Master of Science degrees also apply
to the Master of Fine Arts degree. In addition to completing other
requirements, the candidate must pass a comprehensive examination
administered by the respective program area.
University of Arkansas, Fayetteville • Graduate Catalog 171