12.07.2015 Views

2013-2014 Graduate Catalog Downloadable PDF (10.71MB)

2013-2014 Graduate Catalog Downloadable PDF (10.71MB)

2013-2014 Graduate Catalog Downloadable PDF (10.71MB)

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

566 Course Descriptions/Special Education Field Based689. Special Topics in ... Credit 1 to 4. Selected topics in an identified area of sport management. May berepeated for credit. Prerequisite: <strong>Graduate</strong> classification.690. Theory of Research in Sport Management. (3-0). Credit 3. Theory and design of research problemsand experiments in various fields of sport management. May be taken 2 times for credit. Prerequisite:<strong>Graduate</strong> classification.691. Research. Credit 1 to 18. Research for thesis or dissertation. Prerequisites: <strong>Graduate</strong> classification andapproval of committee chair.Department of Statisticswww.stat.tamu.eduHead: S. SheatherThe Department of Statistics offers a graduate program leading to the degrees of Master of Scienceor Doctor of Philosophy. The department cooperates closely with all subject matter area departmentsin setting up flexible minor programs in statistics.The Department of Statistics offers two options in its master’s degree programs: (1) the MS (thesisoption) which requires the preparation of a thesis and, (2) the MS (non-thesis option) which requiresmore formal coursework in lieu of the thesis. Both programs provide a balanced training in statisticalmethods and statistical theory and are intended to prepare the student to adapt statistical methodologiesto practical problems.The aim of the PhD program is to provide comprehensive and balanced training in statistical methodsand statistical theory. Particular emphasis will be placed on training students to independentlyrecognize the relevance of statistical methods to the solution of specific problems and to enable them todevelop new methods when they are needed. The training will also aim at conveying a sound knowledgeof existing statistical theory, including the mathematical facility to develop new results in statisticalmethodology. At the same time, the program will be kept sufficiently flexible to permit students todevelop their specific interests.The following courses are offered on an irregular basis: STAT 602, STAT 606, STAT 609,STAT 623, STAT 634, STAT 635, STAT 637, STAT 658, STAT 662, STAT 665 and STAT 671. Contactthe department for specific offerings for any given term.Statistics(STAT)601. Statistical Analysis. (3-2). Credit 4. For students in engineering, physical and mathematical sciences.Introduction to probability, probability distributions and statistical inference; hypotheses testing; introductionto methods of analysis such as tests of independence, regression, analysis of variance with someconsideration of planned experimentation. Prerequisite: MATH 152 or MATH 172.604. Topics in Statistical Computations. (3-0). Credit 3. Efficient uses of existing statistical computerprograms (SAS, R, etc.); generation of random numbers; using and creating functions and subroutines;statistical graphics; programming of simulation studies; and data management issues. Prerequisite:MATH 221,251, or MATH 253.605. Advanced Statistical Computations. (3-0). Credit 3. Programming languages, statistical softwareand computing environments; development of programming skills using modern methodologies; dataextraction and code management; interfacing lower-level languages with data analysis software; simulation;MC integration; MC-MC procedures; permutation tests; bootstrapping. Prerequisite: STAT 612and STAT 648.607. Sampling. (3-0). Credit 3. Planning, execution and analysis of sampling from finite populations; simple,stratified, multistage and systematic sampling; ratio estimates. Prerequisite: STAT 601 or STAT 652or concurrent enrollment in STAT 641.608. Regression Analysis. (3-0). Credit 3. Multiple, curvilinear, nonlinear, robust, logistic and principalcomponents regression analysis; regression diagnostics, transformations, analysis of covariance. Prerequisite:STAT 601 or STAT 641.610. Theory of Statistics - Distribution Theory. (3-0). Credit 3. Brief introduction to probability theory;distributions and expectations of random variables, transformations of random variables and orderstatistics; generating functions and basic limit concepts. Prerequisite: MATH 409 or concurrent enrollmentin MATH 409.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!